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Free Download Realistic Ai Images With Stable Diffusion & Fooocus Published 11/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 5.99 GB | Duration: 5h 38m Create Hyper-Realistic AI Images with Fooocus, a complete Guide to ai Influencers, Productplacement and so much more What you'll learn Learn how to download and install base models and LORAs in Fooocus Learn how to write perfect prompts for Fooocus and select the ideal parameters Master advanced techniques for creating highly specific AI images Learn how to create AI influencers and generate images according to client requirements Discover how to implement product placement with clothing and objects using Fooocus Identify and troubleshoot errors and issues in Fooocus Monetize your newly acquired skills as a freelancer on Fiverr Requirements No prior knowledge required. If you can use a computer, that's all you need. Description Would you like to learn how to create hyper-realistic images using artificial intelligence?Do you want a quick, simple, and cost-effective method for achieving impressive results with Stable Diffusion and the Fooocus tool?Have you ever thought about creating an AI influencer or offering AI-generated images as a freelancer?Then this course is exactly what you're looking for!In this comprehensive, hands-on course, we will dive deep into AI image generation with Stable Diffusion in an easy-to-understand way. You will gradually learn all the essential skills to create stunning AI images without getting lost in unnecessary technical details or requiring unaffordable, high-end hardware.This course covers all the key aspects of using Fooocus and its extensive features. You will receive an in-depth introduction to Fooocus, discovering how it works and what makes it unique. Along the way, you will explore the different functions and possibilities of this tool and learn how to leverage them optimally for your projects.You'll learn how to write perfect prompts for Fooocus, supported by ChatGPT. You will explore how to apply different styles, install and use other base models and LORAs, and utilize Fooocus's advanced features. Additionally, you'll gain insights into running Fooocus using Google Colab, learning how to avoid common errors and streamline your workflow.You'll discover how to combine ChatGPT with Fooocus to achieve even better results and receive valuable tips for marketing your images on freelance platforms like Fiverr. Moreover, you will learn how to create highly realistic, consistent characters-known as AI influencers-and implement product placement using AI.It's important to understand that AI image generation is just beginning to gain traction, placing you at the forefront of this fascinating new technology. Whether you intend to use the skills acquired in this course for personal or professional purposes, they will deliver exceptional value in any case.With lifetime access to the course content and regular updates, you'll have the opportunity to continually refresh and deepen your knowledge of AI image generation. The field is advancing quickly, so I update the course regularly to keep it current.If you're ready to explore the powerful Fooocus tool and dive into this exciting technology, this course is perfect for you.Enroll today and become an expert in AI image generation and Stable Diffusion with Fooocus! Overview Section 1: Introduction Lecture 1 Introduction to the course Lecture 2 Introduction to ai image creation and examples of what is possible Section 2: Introduction to the ai tool Fooocus and Google Colab Lecture 3 What is Fooocus and how does Stable diffusion work? Lecture 4 Starting Fooocus on Google Colab Lecture 5 Customising our Colab Notebook and Installing different Basemodels Section 3: The most important functions of Fooocus and how to use them Lecture 6 Overview about the main functions of Fooocus Lecture 7 Text Prompt Lecture 8 Image Prompt Lecture 9 What is the seed number and why you need to know about it? Lecture 10 Upscale and Variation Lecture 11 Inpainting Lecture 12 Uploading a mask for very precise inpainting Section 4: LORAs Lecture 13 Installing different LORAs Lecture 14 How to use LORAs in Fooocus for Inpainting Lecture 15 How to use LORAs to create entire images Section 5: Expert Knowledge Lecture 16 How to write perfect prompts Lecture 17 Context based prompts Lecture 18 Use different styles in Fooocus Lecture 19 Using SD1.5 base models in Fooocus Lecture 20 Increase the Speed of Fooocus Lecture 21 Fixing Images - Hands Lecture 22 Fixing Images - Faces Lecture 23 Combine ChatGPT and AI image creation Lecture 24 Combine Image Prompts and Inpainting to change the clothing of digital models Section 6: Product Placement Lecture 25 How to do perfect Product Placement with Fooocus (clothing) Section 7: Create an AI Influencer (constant character) Lecture 26 Define your requirements Lecture 27 Write a prompt for the face of the AI Influencer Lecture 28 Write a prompt for the body and the first scene of the AI Influencer Lecture 29 Create the face of the AI Influencer using Fooocus Lecture 30 Create the body and the first scene of the AI Influencer using Tensor Art Lecture 31 Swap the face of the AI Influencer using Discord Lecture 32 Refine the face of the AI Influencer using Fooocus Lecture 33 Fix some little errors and adjust details Lecture 34 Summary and creation of another image of the AI Influencer Section 8: Trouble Shooting Fooocus Lecture 35 What are the most commor errros in Fooocus and how to fix them Section 9: Aesthetics, Proportions and Composition in images Lecture 36 General Advice for great Images Section 10: Become a Freelancer on Platforms like Fiverr Lecture 37 What do I do on Fiverr and how do I earn money? Lecture 38 How does the platform look like? Lecture 39 How can you offer your services? Section 11: Tipps for an efficient and clean Work Process Lecture 40 How to work in a fast and organized way Section 12: Legal and moral aspects of creating ai images Lecture 41 Some legal and moral aspects of your new skill Section 13: Summary and Goodbye Lecture 42 Summary Anyone who wants to learn how to create highly realistic images using artificial intelligence,Those interested in creating specific, customized images for clients, such as freelancers, web designers, or online marketing service providers,Anyone who wants to jump straight into practical applications without diving too deeply into the underlying theory Homepage https://www.udemy.com/course/realistic-ai-images-with-stable-diffusion-fooocus/ Download ( Rapidgator ) https://rg.to/file/31029dba6833b9fd9cc2a30e81be2db1/ynben.Realistic.Ai.Images.With.Stable.Diffusion..Fooocus.part6.rar.html https://rg.to/file/7adff60ae114443a647f949acb7497de/ynben.Realistic.Ai.Images.With.Stable.Diffusion..Fooocus.part2.rar.html https://rg.to/file/7b0b1f41b19cfdc948b3e7ad2b418095/ynben.Realistic.Ai.Images.With.Stable.Diffusion..Fooocus.part5.rar.html https://rg.to/file/87b21acb6af9a6303abd83741ccd29ce/ynben.Realistic.Ai.Images.With.Stable.Diffusion..Fooocus.part3.rar.html https://rg.to/file/a3dc4a624af87d6d4c0165982214db6b/ynben.Realistic.Ai.Images.With.Stable.Diffusion..Fooocus.part7.rar.html https://rg.to/file/bcfba9d25b8d68aa3795dde47adaae01/ynben.Realistic.Ai.Images.With.Stable.Diffusion..Fooocus.part1.rar.html https://rg.to/file/c2ae5d2622a4ee6cd42cb471110c88ef/ynben.Realistic.Ai.Images.With.Stable.Diffusion..Fooocus.part4.rar.html Fikper https://fikper.com/8CF89Bhq1c/ynben.Realistic.Ai.Images.With.Stable.Diffusion..Fooocus.part2.rar.html https://fikper.com/FmOBwDtk8J/ynben.Realistic.Ai.Images.With.Stable.Diffusion..Fooocus.part3.rar.html https://fikper.com/dy80HYI683/ynben.Realistic.Ai.Images.With.Stable.Diffusion..Fooocus.part5.rar.html https://fikper.com/eLoLIpxYWS/ynben.Realistic.Ai.Images.With.Stable.Diffusion..Fooocus.part4.rar.html https://fikper.com/iuNYVbERvP/ynben.Realistic.Ai.Images.With.Stable.Diffusion..Fooocus.part1.rar.html https://fikper.com/mX3in1mo6u/ynben.Realistic.Ai.Images.With.Stable.Diffusion..Fooocus.part7.rar.html https://fikper.com/tR8eNBD6zI/ynben.Realistic.Ai.Images.With.Stable.Diffusion..Fooocus.part6.rar.html No Password - Links are Interchangeable

Free Download Real-World Natural Language Processing, Video Edition Released 11/2021 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 9h 47m | Size: 1.56 GB In Real-world Natural Language Processing you will learn how to Design, develop, and deploy useful NLP applications Create named entity taggers Build machine translation systems Construct language generation systems and chatbots Use advanced NLP concepts such as attention and transfer learning Real-world Natural Language Processing teaches you how to create practical NLP applications without getting bogged down in complex language theory and the mathematics of deep learning. In this engaging book, you'll explore the core tools and techniques required to build a huge range of powerful NLP apps, including chatbots, language detectors, and text classifiers. About the Technology Training computers to interpret and generate speech and text is a monumental challenge, and the payoff for reducing labor and improving human/computer interaction is huge! Th e field of Natural Language Processing (NLP) is advancing rapidly, with countless new tools and practices. This unique book offers an innovative collection of NLP techniques with applications in machine translation, voice assistants, text generation, and more. About the Book Real-world Natural Language Processing shows you how to build the practical NLP applications that are transforming the way humans and computers work together. Guided by clear explanations of each core NLP topic, you'll create many interesting applications including a sentiment analyzer and a chatbot. Along the way, you'll use Python and open source libraries like AllenNLP and HuggingFace Transformers to speed up your development process. What's Inside Design, develop, and deploy useful NLP applications Create named entity taggers Build machine translation systems Construct language generation systems and chatbots About the Reader For Python programmers. No prior machine learning knowledge assumed. About the Author Masato Hagiwara received his computer science PhD from Nagoya University in 2009. He has interned at Google and Microsoft Research, and worked at Duolingo as a Senior Machine Learning Engineer. He now runs his own research and consulting company. Download ( Rapidgator ) https://rg.to/file/395ad9251f4e6cec323b683a44aa5fe4/kzyeo.RealWorld.Natural.Language.Processing.Video.Edition.part1.rar.html https://rg.to/file/56f9dda4c106c972877dcdeaef4a18f4/kzyeo.RealWorld.Natural.Language.Processing.Video.Edition.part2.rar.html Fikper https://fikper.com/6gFb82yK5T/kzyeo.RealWorld.Natural.Language.Processing.Video.Edition.part2.rar.html https://fikper.com/conFotIadT/kzyeo.RealWorld.Natural.Language.Processing.Video.Edition.part1.rar.html No Password - Links are Interchangeable

Free Download Real Estate Tax Strategies Minimize Taxes, Maximize Savings Published 11/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 302.71 MB | Duration: 1h 3m Unlock Tax Savings: Strategies for Real Estate Investors and Property Owners What you'll learn Maximize tax savings through deductions like mortgage interest, property taxes, and depreciation. Use capital gains exclusions and 1031 exchanges to reduce taxes on real estate sales. Apply tax-efficient strategies like cost segregation and depreciation for real estate investing. Plan year-end tax strategies to minimize liabilities and optimize deductions for real estate owners. Requirements No prior tax or real estate experience is needed-this course is suitable for beginners and experienced professionals. Basic knowledge of real estate investing or property ownership is helpful but not necessary. Motivation to learn and apply tax strategies for real estate in a self-paced, online learning environment. Description Unlock the full potential of your real estate investments with expert tax strategies designed to help you save more and minimize liabilities. Whether you're a seasoned real estate investor, a property owner, or just starting out, this course will guide you through essential tax-saving techniques that will have a direct impact on your bottom line.In this comprehensive course, you will learn how to:Identify and claim the most lucrative real estate tax deductions, such as mortgage interest, property taxes, and depreciation.Maximize your tax benefits when buying, selling, or investing in properties.Use advanced strategies like the 1031 exchange to defer capital gains taxes on investment properties.Leverage cost segregation to accelerate depreciation and enhance cash flow.Navigate the complex rules around real estate losses, passive activity limits, and tax planning.Develop year-end tax strategies to reduce your overall tax burden and keep more of your hard-earned money.Why take this course?Real estate taxes can be complex, but with the right knowledge, you can significantly improve your financial outcomes. This course breaks down these concepts into simple, actionable steps, offering insights and tools that can be applied immediately to your real estate business or portfolio. You'll finish the course with a clear understanding of how to reduce your tax liabilities and increase your profits.Who is this course for?Real estate investors looking to optimize their tax strategies.Property owners who want to learn how to maximize tax deductions.Real estate agents or professionals offering tax advice to clients.New or aspiring real estate investors seeking beginner-friendly tax guidance.By the end of this course, you'll have the tools and strategies to confidently navigate the world of real estate taxes and unlock significant tax savings. Enroll today and start taking control of your real estate taxes! Overview Section 1: Introduction to Real Estate Taxation Lecture 1 Welcome and Course Overview Lecture 2 Meet Your Instructor Lecture 3 What You'll Learn Section 2: Key Real Estate Tax Deductions Lecture 4 Overview of Tax Deductions for Property Owners Lecture 5 Mortgage Interest Deduction Lecture 6 Property Tax Deduction Lecture 7 Depreciation of Real Estate Lecture 8 Rental Property Expenses Section 3: Capital Gains and Real Estate Sales Lecture 9 Primary Residence Exclusion Lecture 10 Understanding Capital Gains Lecture 11 1031 Exchange Section 4: Tax Strategies for Real Estate Investors Lecture 12 Tax Benefits of Real Estate Investing Lecture 13 Cost Segregation Lecture 14 Real Estate Losses and Passive Activity Rules Section 5: Estate Planning and Real Estate Lecture 15 Estate Tax Strategies for Real Estate Owners Lecture 16 Gifting Real Estate as Part of Estate Planning Lecture 17 Setting Up a Trust for Real Estate Real estate investors who want to maximize tax savings and reduce liabilities on their investments.,Property owners looking to understand and take advantage of key tax deductions like mortgage interest and property taxes.,Real estate agents or professionals seeking to offer tax-saving strategies to their clients.,New and aspiring real estate investors looking for beginner-friendly guidance on tax planning.,Entrepreneurs interested in learning how to use real estate tax strategies to build wealth. Homepage https://www.udemy.com/course/real-estate-tax-strategies-minimize-taxes-maximize-savings/ Download ( Rapidgator ) https://rg.to/file/933ca3b1582bba87d3cad66b14b4e4db/phzld.Real.Estate.Tax.Strategies.Minimize.Taxes.Maximize.Savings.rar.html Fikper https://fikper.com/8p9sTA5TWm/phzld.Real.Estate.Tax.Strategies.Minimize.Taxes.Maximize.Savings.rar.html No Password - Links are Interchangeable

Free Download Reactive Programming With Java And Project Reactor Published 11/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1017.74 MB | Duration: 3h 23m Learn the core principles of reactive programming, the foundation of Spring WebFlux's reactive stack. What you'll learn Essential principles of reactive programming and reactive systems Concepts of Reactive Streams that serve as a foundation for reactive programming Using Project Reactor with Java to create projects How to use creation, transformation, and filtering operators in Project Reactor How to handle error scenarios in reactive programming How to combine data streams with operators Using Schedulers with reactive programming Backpressure strategies Requirements Intermediate knowledge in Java Knowledge of the Java 8 Streams API Description In this practical and focused course, you'll learn about Reactive Programming with a focus on Project Reactor, a widely recognized Java library that simplifies building reactive, non-blocking systems.This course is designed for software developers who want to enhance their skills in reactive programming and explore Project Reactor as a powerful tool. It's ideal for Java developers and anyone interested in creating highly responsive and efficient systems.You'll learn about reactive data streams, handling concurrency, error management, and more. By the end of the course, you'll have a solid understanding of reactive programming.What You Will Learn:Core Concepts: Explore the essential principles of reactive programming, including reactive systems, synchronous and asynchronous flows, non-blocking operations, and event propagation in data streams.Reactive Streams: Dive into Reactive Streams, which provide the foundation for reactive programming, enabling applications to dynamically react to events and data flows.Introduction to Project Reactor: Discover Project Reactor, getting to know its key components like Flux and Mono, and learn how to use them to create reactive applications.Creation Operators: Explore Project Reactor's creation operators, which let you generate reactive data streams from various sources, such as collections, expanding your options for building reactive applications.Operators: Learn how to apply transformation and filter operators to shape reactive data streams to fit your needs.Combining Streams: Understand how to combine, merge, and aggregate data streams efficiently.Error Handling: Learn effective strategies for error handling and recovery in reactive environments.Schedulers: Understand the importance of Schedulers in reactive programming and learn how to manage concurrency and optimize task execution for efficient systems.Backpressure: Learn to manage backpressure, a key technique to ensure data streams are processed efficiently, preventing overload. Overview Section 1: Introduction Lecture 1 About the Course and Prerequisites Lecture 2 Course Materials Section 2: Important Concepts Lecture 3 Traditional System vs Reactive System Lecture 4 Reactive Manifesto Lecture 5 Core Principles of Reactive Programming Lecture 6 Summary Lecture 7 Want to Learn More About the Event Loop? Section 3: Reactive Streams Lecture 8 Introduction Lecture 9 Implementing the Publisher Lecture 10 Implementing the Subscriber Lecture 11 Implementing the Subscription Lecture 12 Running the Example Lecture 13 Summary Section 4: Introduction to Project Reactor Lecture 14 What is Project Reactor? Lecture 15 Implementing Project Reactor 1 Lecture 16 Implementing Project Reactor 2 Lecture 17 Summary Section 5: Creation Operators Lecture 18 Understanding How Operators Work Lecture 19 Basic Creation Operators Lecture 20 Flux().create() Operator Lecture 21 Flux().create() Operator in Practice Lecture 22 Flux().generate() Operator Lecture 23 Flux().generate() Operator in Practice Lecture 24 Summary Section 6: Operators Lecture 25 How the take() Operator Works in a Stream Lecture 26 take() and takeWhile() Operators Lecture 27 map() Operator Lecture 28 flatMap() Operator - Part 1 Lecture 29 flatMap() Operator - Part 2 Lecture 30 filter() Operator Lecture 31 delayElements() Operator Lecture 32 transform() Operator Lecture 33 Side Effects Operators Lecture 34 Summary Section 7: Combining Streams with Operators Lecture 35 concat Operator Lecture 36 merge() Operator Lecture 37 zip() Operator Lecture 38 Summary Section 8: Error Handling Lecture 39 onErrorReturn Operator Lecture 40 onErrorResume Operator Lecture 41 onErrorContinue Operator Lecture 42 onErrorComplete Operator Lecture 43 onErrorMap Operator Lecture 44 isEmpty and defaultIfEmpty Operators Lecture 45 retry and retryWhen Operator Lecture 46 Summary Section 9: Schedulers Lecture 47 Example of Blocking Operation Lecture 48 How Schedulers Work Lecture 49 Using Schedulers in Practice Lecture 50 Parallel Processing with Schedulers Lecture 51 Parallel Processing with Schedulers in Practice Lecture 52 Summary Section 10: Backpressure Lecture 53 onBackpressureBuffer Strategy: Part 1 Lecture 54 onBackpressureBuffer Strategy: Part 2 Lecture 55 onBackpressureError Strategy Lecture 56 onBackpressureDrop Strategy Lecture 57 onBackpressureLatest Strategy Lecture 58 Defining Backpressure Strategy in the Flux.create() Operator Lecture 59 Summary Section 11: Hot and Cold Publisher Lecture 60 Difference Between a Cold Publisher and a Hot Publisher Lecture 61 Creating a Hot Publisher with the autoConnect() Operator Lecture 62 Creating a Hot Publisher with the autoConnect(n) Operator Lecture 63 Creating a Hot Publisher with the share() and refCount() Operators Lecture 64 Summary People interested in starting with reactive programming in Java.,Developers who want to learn about Project Reactor before diving into WebFlux to build a stronger foundation.,Java developers and anyone interested in building highly responsive and efficient systems. Homepage https://www.udemy.com/course/reactive-programming-with-java-and-project-reactor/ Download ( Rapidgator ) https://rg.to/file/48ba4458a925636483f8745f8cb1ff51/ocwpz.Reactive.Programming.With.Java.And.Project.Reactor.part1.rar.html https://rg.to/file/d9b625cd2d136404319704f5af314621/ocwpz.Reactive.Programming.With.Java.And.Project.Reactor.part2.rar.html Fikper https://fikper.com/DG7GJS1Spn/ocwpz.Reactive.Programming.With.Java.And.Project.Reactor.part2.rar.html https://fikper.com/TnYi35qTDO/ocwpz.Reactive.Programming.With.Java.And.Project.Reactor.part1.rar.html No Password - Links are Interchangeable

Free Download React - Creating and Hosting a Full-Stack Site (2024) Released 11/2024 With Shaun Wassell MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 4h 9m 10s | Size: 575 MB Learn how to combine React, Node.js, and Amazon Web Services (AWS) in a full-stack, full-featured website. Course details You've learned React and can create amazing front-end interfaces. But deploying them requires more. You need logic-and a place to put it. By combining your front-end UI with a back-end solution and cloud hosting, you can build powerful and interactive full-stack applications. In this project-based course, Shaun Wassell shows how to combine React, Node.js, and Amazon Web Services (AWS) in a full-stack, full-featured website, including user-friendly forms for posting articles and comments. Learn how to create an interface from React components, develop a Node.js server, tie in a MongoDB database, add user authentication with Firebase Auth, and deploy your site on Amazon Web Services. Join Shaun in this course to gain the skills to take your client services to the next level: full-stack web applications that are truly interactive. Homepage https://www.linkedin.com/learning/react-creating-and-hosting-a-full-stack-site-24928483 Download ( Rapidgator ) https://rg.to/file/9291fb3a3f825d1ed974406d678ece2c/vwydu.React.Creating.and.Hosting.a.FullStack.Site.2024.rar.html Fikper https://fikper.com/wL6n3biL6X/vwydu.React.Creating.and.Hosting.a.FullStack.Site.2024.rar.html No Password - Links are Interchangeable

Free Download Raspberry Pi Pico Stepper Motor Interfacing Published 11/2024 Created by Educational Engineering Team,Educational Engineering MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 5 Lectures ( 30m ) | Size: 200 MB Learn to control stepper motors with precision using the Raspberry Pi Pico-from setup to advanced motion techniques in r What you'll learn Stepper Motor Basics - Understand the inner workings and benefits of stepper motors. Configuring the Raspberry Pi Pico - Set up your Raspberry Pi Pico for controlling electronic components. Hardware Integration - Properly wire your stepper motor and ensure reliable operation Programming for Motor Control - Write Python code to control motor direction, speed, and rotations. Advanced Motion Techniques - Explore methods like micro-stepping and speed management for smooth movements. Error Handling and Optimization - Develop strategies to identify and fix common motor control issues. Implementing Real-World Applications - Incorporate stepper motors into complex projects such as robotics and CNC systems. Requirements Raspberry Pi Pico with MicroPython setup. Basic electronics knowledge and access to a computer for coding. A stepper motor and appropriate motor driver (details provided in the course). No prior experience with stepper motors or the Raspberry Pi Pico is necessary. Description Unleash the potential of your electronic and robotic projects by gaining in-depth control over stepper motors with the versatile Raspberry Pi Pico. Whether you're a hobbyist or a professional, this hands-on course is crafted to take you from complete beginner to proficient in stepper motor control. Through a mix of theory, practical coding, and hardware setup, you'll discover how stepper motors work, why they're essential in precision applications, and how to harness their potential for your projects.You'll begin by mastering the fundamentals of stepper motors, including how they differ from other motor types, then dive straight into the setup of your Raspberry Pi Pico for motor control. With step-by-step guidance, you'll learn how to wire the motor, write code to control its movement, and troubleshoot common issues to ensure smooth operation. This course will teach you key motor control concepts like managing speed, direction, and rotation, and will extend to advanced techniques like acceleration, deceleration, and micro-stepping for precision.By the end of the course, you'll have gained the confidence and skills to incorporate stepper motors into various applications, from robotics to CNC machines and beyond. This is your gateway to achieving precise and controlled movement in your projects.Key Features:Practical Hands-On Projects - Apply concepts immediately through guided, real-world exercises.Comprehensive Troubleshooting Guides - Identify and resolve common motor control issues.Advanced Control Techniques - Learn professional techniques like micro-stepping and acceleration.Testimonials"This course demystified stepper motor control for me. The explanations are clear, and I loved the real-world examples. My robotics project has never been smoother!"- Alex T., Robotics Enthusiast"I was new to the Raspberry Pi Pico, but this course made it easy to get started. I now have the confidence to add stepper motors to my projects with ease!"- Priya M., Engineering Student"The troubleshooting section alone was worth it. I've taken other motor control courses, but none covered the details as well as this one."- Jordan K., Electronics HobbyistCall to Action:Ready to bring precise motor control to your projects? Enroll Now and take the first step toward mastering stepper motor control with the Raspberry Pi Pico!What You Will Learn:Stepper Motor Basics - Understand the inner workings and benefits of stepper motors.Configuring the Raspberry Pi Pico - Set up your Raspberry Pi Pico for controlling electronic components.Hardware Integration - Properly wire your stepper motor and ensure reliable operation.Programming for Motor Control - Write Python code to control motor direction, speed, and rotations.Advanced Motion Techniques - Explore methods like micro-stepping and speed management for smooth movements.Error Handling and Optimization - Develop strategies to identify and fix common motor control issues.Implementing Real-World Applications - Incorporate stepper motors into complex projects such as robotics and CNC systems.Who Is This Course For?Electronics Hobbyists and Makers looking to add precision motor control to their creations.Students and Educators in electronics or robotics wanting a practical project to explore.Engineers and Technicians interested in expanding their motor control knowledge for various applications.Robotics Enthusiasts who want to integrate stepper motors for accurate, controlled movement in their projects.Beginners with Microcontrollers looking for a comprehensive, practical introduction to the Raspberry Pi Pico.Requirements:Raspberry Pi Pico with MicroPython setup.Basic electronics knowledge and access to a computer for coding.A stepper motor and appropriate motor driver (details provided in the course).No prior experience with stepper motors or the Raspberry Pi Pico is necessary. Who this course is for Electronics Hobbyists and Makers looking to add precision motor control to their creations. Students and Educators in electronics or robotics wanting a practical project to explore. Engineers and Technicians interested in expanding their motor control knowledge for various applications. Robotics Enthusiasts who want to integrate stepper motors for accurate, controlled movement in their projects. Beginners with Microcontrollers looking for a comprehensive, practical introduction to the Raspberry Pi Pico. Homepage https://www.udemy.com/course/raspberry-pi-pico-stepper-motor-interfacing/ Download ( Rapidgator ) https://rg.to/file/a9ad4ec4e45d6b501e264a739259a6db/sagjx.Raspberry.Pi.Pico.Stepper.Motor.Interfacing.rar.html Fikper https://fikper.com/n7eMsOHEHW/sagjx.Raspberry.Pi.Pico.Stepper.Motor.Interfacing.rar.html No Password - Links are Interchangeable

Free Download Raspberry Pi - Make a Workbench Computer MP4 | Video: h264, 1920x1080 | Audio: AAC, 48KHz Language: English | Size: 15.2 GB | Duration: 10h 58m Build a touch-screen driven application and control appliances and devices using a Raspberry Pi What you'll learn Create graphical applications on the Raspberry Pi Understand the basics of controlling mains appliances using relays Learn how to use a low-cost relay board to control large loads with your Raspberry Pi Understand how to use a relay board to control large loads with your Raspberry Pi Control DC devices Use the camera to take snapshots, interval snapshots and videos. Create a Python application that allows you to control external devices and appliances, and interact with sensors Manipulate still images and video taken by the Raspberry Pi camera Design a driver circuit for the external relays Control mains appliances safely Create an enclosure for your mains controller circuit Setup a remote working environment for your Raspberry Pi Design a printed circuit board for the relay circuit Requirements A basic understanding of the Raspberry Pi A basic understanding of electronics Ability to install free software on your computer Parts and tools, as listed in a free lecture in section 1 Description ** UPDATED SEPTEMBER 1, 2022 ** In this update I'll show you how to update the bench computer so that it runs on the latest currently available version of the Raspberry Pi operating system, which is version 11, nicknamed "Bullseye", along with the Python interpreter that comes with Bullseye, which is version 3.9.2. The new content includes 15 new lectures (2 new hours of instruction) in two sections. I have not changed the bench computer hardware in this update. --------------------------------- ** UPDATED JANUARY 31, 2018 ** The latest update includes a whole new section in which you will learn how to build your Raspberry Pi Bench Computer using a low cost relay board instead of the (hard to find) Piface Relay+. You will also learn how to use a GPIO breakout board that makes it very easy to secure wires to your Raspberry Pi. --------------------------------- This Raspberry Pi project course will show you how to integrate a variety of components into a gadget that you can use to automate your work bench. I call it "The Bench Computer". With the Bench Computer, you will be able to control any device and appliance on your electronics work bench, like turn on and off your bench lights, soldering iron and fume extractor. The Bench Computer provides a great framework on which you can build your own home automation projects Out of the box, you will be able to control anything with a simple on/off switch, like lights, fans, heaters etc. I have designed this course to help you get started. What you get the Bench Computer to do is entirely up to you! Here are the main components (software and hardware) that you will learn about by taking this course The Raspberry Pi (I use a Raspberry Pi 3 Model B for historical reasons, you can also use a Raspberry Pi 4). The Raspberry Pi 7-inch touchscreen. The Raspberry Pi Camera v2. The Piface Relay+ HAT (contains the small relays used to control 12V devices) OR a Keyestudio 4 Channel Relay board. A GPIO board breakout. Larger external relays used for controlling mains appliances like lights and your soldering iron. Python 3 and the Tkinter framework for building the application. Things that you want to control, like low-power 12V LED strips and fans, and mains appliances like a soldering iron. Scroll further down for a list of learning objectives for this course. All code is available on Github, and is free to download and use as you wish. A list of parts is available in the first section of the course (free to view). In 11 hours of video content and over 70 lectures, you will learn the necessary skills for interfacing you Raspberry Pi with your workbench. 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Free Download Randalas Stage 1 - Visual Meditation - the art of relaxation Published 11/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 2h 30m | Size: 3.13 GB Grow your creative drawing skills, increase awareness and focus through Randalas Stage 1 Visual Meditation techniques. What you'll learn Learn how to use Randalas drawing techniques to improve your level of concentration. Discover the relaxing energy of Randalas visual meditation techniques. Create exciting and unique Randalas drawings. Use your subconscious imagery to help you de-stress and relax. Develop your drawing skills and confidence. Requirements Randalas Visual Meditation is suitable for any age or ability. No prior drawing experience is necessary. All that is required to succeed at drawing a Randalas is simply a piece of paper and preferably a thin black marker. However, any type of drawing equipment will be acceptable. For example a biro, pen or even a pencil will be a satisfactory replacement. Randalas can be drawn in any environment, anywhere at any time, yet creating a quiet space without interruption will help your success and progress. Description Stage 1 Randalas Visual Meditation offers absolutely anyone of any age or ability a chance to explore their inner thoughts. If you have ever struggled with traditional meditation techniques, Stage 1 Randalas will be perfect course for you. Stage 1 Randalas sets you up to succeed with simple drawing techniques. You will learn some basic mark making techniques and apply Randalas meditation approaches to feel more relaxed, develop greater focus, increase your concentration as well as improving your drawing confidence. Emphasis is placed on 'you time', creating and allowing yourself to take some time out of your busy schedule to stop, sit quietly, draw and listen carefully to your subconscious thinking.While at times tapping into our inner thoughts and feelings can be quite confronting, Randalas offer us a gentle way to explore these emotional states and beliefs, building greater understanding and making us more aware of our inner voice.The simple approach and techniques used for Randalas are very versatile and practical. Randalas Visual Meditation can be done anywhere and it is as easy as having a piece of paper and a pen at the ready at any time when it is needed. Importance is placed on short but consistent practise before moving forward onto Stage 2 Randalas. Who this course is for Even if you have never drawn before you can excel at making Randalas. People from 6yrs to 60yrs have enjoyed the powerful relaxing ability of Randalas. For those who have found traditional meditation challenging, Randalas will let you gently ease into the meditative mindset. Very quickly you will find yourself improving your concentration and ability to switch off and relax. In addition to this you will also improve your drawing skills and techniques. Homepage https://www.udemy.com/course/randalas-stage-1-visual-meditation-the-art-of-relaxation/ Download ( Rapidgator ) https://rg.to/file/56d775b17326580a5512c2cdebff75e3/jlzwu.Randalas.Stage.1..Visual.Meditation..the.art.of.relaxation.part1.rar.html https://rg.to/file/f03e27f2c491781d1a6e5d20847996c7/jlzwu.Randalas.Stage.1..Visual.Meditation..the.art.of.relaxation.part3.rar.html https://rg.to/file/f50002165db5312252db5cb9002f9302/jlzwu.Randalas.Stage.1..Visual.Meditation..the.art.of.relaxation.part4.rar.html https://rg.to/file/f8ab9ce75d834ab2e4461a72c36eb0fe/jlzwu.Randalas.Stage.1..Visual.Meditation..the.art.of.relaxation.part2.rar.html Fikper https://fikper.com/JnxC0gr0Jj/jlzwu.Randalas.Stage.1..Visual.Meditation..the.art.of.relaxation.part3.rar.html https://fikper.com/Kf1NBLDsVf/jlzwu.Randalas.Stage.1..Visual.Meditation..the.art.of.relaxation.part2.rar.html https://fikper.com/nZpHDuSELT/jlzwu.Randalas.Stage.1..Visual.Meditation..the.art.of.relaxation.part1.rar.html https://fikper.com/x4327tAXID/jlzwu.Randalas.Stage.1..Visual.Meditation..the.art.of.relaxation.part4.rar.html No Password - Links are Interchangeable

Free Download Railway Control Engineering Fundamentals (IRSE Module A) Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 149.32 MB | Duration: 0h 46m Certificate in Railway Control Engineering Fundamentals (IRSE Professional Exam Module A) of the Advanced Diploma What you'll learn Train Control Terminology Introduction to Railway Signalling Fundamental Requirements of Train Control System Train Detection Basic of Interlocking Dependability Principle of Railway Safety Engineering Train Protection Operator Interfaces Safe Train Separation Telecom Safety Engineering for Railway Control and Communication System Metro Railways Level Crossing Railway Systems Management Interfaces and interaction between Railway Control Points Point Maintenances and Remote condition monitoring SIL (Safety Integrity Level) Metro Train Control System Requirements Basic Understanding of Railway Description Certificate in Railway Control Engineering Fundamentals (IRSE Professional Exam Module A) of the Advanced Diploma in Railway Control Engineering1. Welcome and Course OverviewBrief Welcome: "Welcome to Railway Control Engineering Fundamentals, designed for professionals preparing for the IRSE Module A exam."Purpose of the Course: Highlight that the course covers the core concepts of railway control and communication systems. Emphasize its relevance for railway engineers, signaling professionals, and students aiming for a foundational understanding of these systems.Learning Goals: Summarize that by the end, learners will have a solid grasp of railway control principles, safety protocols, and essential technologies.2. Key Topics OverviewIntroduce the main topics with a brief outline:Introduction to Railway Signalling: Explain how signalling ensures train movements are safe and efficient, managing the flow of trains.Fundamental Requirements for Train Control Systems: Discuss the importance of meeting operational needs with safe, reliable, and cost-effective designs.Train Detection Systems: Cover:Track Circuits - Basics of track circuit functionality and their role in train detection.Axle Counters - An alternative detection method and how it operates independently of track conditions.Cab Signaling Systems: Introduce cab signaling, allowing drivers to receive real-time updates in the cab, enhancing safety.Interlocking Systems Basics: Explain how interlocking prevents conflicting train routes using systems of controls.Railway Safety Engineering: Discuss safety principles, hazard management, and the safety lifecycle in railway systems.Train Protection Systems: Introduce systems like the Automatic Train Protection (ATP) that automatically intervene to prevent unsafe situations.Operator Interfaces: Show how human-machine interfaces enable smooth communication between the control system and operators.Telecommunications in Railways: Explain telecom's role in real-time communications essential for railway operations.Level Crossing Systems: Describe various types of level crossing protection to safeguard road-rail intersections.Metro Railway and Urban Transit Systems: Explore unique considerations in high-frequency, urban environments.Railway System Management: Highlight management practices for maintaining system efficiency, reliability, and safety.Interface Management: Emphasize the importance of managing interfaces between systems to avoid interoperability issues.3. Teaching Methods and ApproachModular Learning: Explain that each topic is divided into modules for better understanding and ease of revision.Interactive Elements: Mention the use of quizzes, case studies, and examples from real railway systems to provide practical context.Visual Aids and Demonstrations: Describe the use of diagrams, animations, and system simulations to visualize complex concepts.4. Preparing for the IRSE Module A ExamExam Focus: Review the objectives and structure of the IRSE Module A exam.Study Tips: Provide tips for exam preparation, focusing on key areas like system safety, reliability, and technical terminology.5. Course ResourcesLecture Notes and Slides: Inform learners about downloadable slides and reference materials.Additional Reading and Practice Questions: Suggest further readings for deeper understanding, with optional practice questions on each topic.6. Closing Remarks and EncouragementHighlight Industry Relevance: Stress the significance of railway control engineering in advancing safer and more efficient rail networks globally.Encouragement: Motivate learners to actively participate, complete modules, and engage with questions for a rewarding learning journey. Overview Section 1: Introduction Lecture 1 Introduction Section 2: Introduction to Railway Signaling Lecture 2 Introduction to Railway Signalling Lecture 3 Fundamental Requirements for a Train Control System Section 3: Interlocking in Railway Signalling Lecture 4 Introduction to Interlocking in Railway Signalling (Part-1) Lecture 5 Mechanical Interlocking in Railways Section 4: Safety Integrity Level (SIL) Lecture 6 Safety Integrity Level (SIL) Railway Signal Engineers Homepage https://www.udemy.com/course/railway-control-engineering-fundamentals-irse-module-a/ Download ( Rapidgator ) https://rg.to/file/043dac49c0adabaea4e190881910e257/ibqcw.Railway.Control.Engineering.Fundamentals.IRSE.Module.A.rar.html Fikper https://fikper.com/szuAD6KQRr/ibqcw.Railway.Control.Engineering.Fundamentals.IRSE.Module.A.rar.html No Password - Links are Interchangeable

Free Download Radiology X-Ray of Elbow and Forearm Published 11/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 49m | Size: 615 MB Mastering Elbow and Forearm X-Ray Interpretation: Positioning, Anatomy, and Pathology Essentials" What you'll learn How to obtain and interpret elbow and forearm X-rays: including AP, lateral, oblique, and specialized trauma views. Anatomical knowledge of the elbow and forearm: covering normal structures, ossification centers, and key lines for accurate interpretation. Identifying key radiographic signs and pathology: such as the sail sign, fat pad sign, and common fractures. Understanding pediatric vs. adult elbow anatomy and pathology: with emphasis on growth plates and developmental differences Mechanisms and classifications of fractures and injuries: including Monteggia, Galeazzi, and supracondylar fractures, and mechanisms specific to elbow and forea Diagnosis and management of common elbow conditions: such as osteoarthritis, Little Leaguer's elbow, and tennis/golf elbow. Practical skills for accurate X-ray positioning and trauma projection: to ensure proper image acquisition for diagnostic accuracy. Requirements Basic Knowledge of Human Anatomy: Familiarity with general musculoskeletal anatomy will help in understanding the elbow and forearm structures. Understanding of Medical Imaging Basics: Prior exposure to radiology or other medical imaging concepts is helpful but not mandatory. Clinical or Medical Background: Ideal for radiology students, medical professionals, or anyone with a healthcare background, though beginners with an interest in radiology can also benefit. Access to a Device for Viewing High-Resolution Images: A tablet, laptop, or desktop is recommended for clearly viewing X-ray details and annotations. Description This Elbow and Forearm X-Ray Radiography course offers a comprehensive guide to understanding and interpreting X-rays of the elbow and forearm. Designed for radiology students, technologists, medical professionals, and anyone with an interest in musculoskeletal imaging, this course covers both foundational and advanced concepts essential for accurate diagnosis and patient care.Through step-by-step lessons, you'll learn:Positioning Techniques: Master AP, lateral, oblique, and trauma projections, ensuring high-quality, diagnostic images.Anatomical Understanding: Gain in-depth knowledge of the elbow and forearm anatomy, including joints, ossification centers, and typical anatomical variants.Identification of Key Radiographic Signs: Recognize important indicators such as the sail sign, fat pad sign, and elbow lines critical to diagnosis.Fracture Mechanisms and Classifications: Understand common fracture types-including radial head, supracondylar, and Monteggia fractures-and apply classification systems like the Mason classification for clinical accuracy.Specialized Topics in Trauma and Pathology: Distinguish between adult and pediatric injuries, and explore conditions like osteoarthritis, pulled elbow, and sports injuries (Little Leaguer's and tennis elbow).This course combines expert-led instruction with real case studies and practical exercises, equipping you with the skills to confidently analyze elbow and forearm radiographs. Whether you are looking to strengthen your diagnostic abilities or refine your radiographic techniques, this course provides essential knowledge for professionals in radiology, orthopedics, sports medicine, and emergency care. Who this course is for Radiology Students and Residents: Those looking to build a strong foundation in reading elbow and forearm X-rays. Radiologic Technologists and Technicians: Professionals seeking to improve their image acquisition techniques and interpretation skills Medical and Healthcare Professionals: Physicians, orthopedic practitioners, and emergency care providers who encounter elbow and forearm injuries and want to refine their diagnostic skills Physiotherapists and Sports Medicine Specialists: Individuals who manage musculoskeletal conditions and benefit from understanding radiographic imaging of the elbow. Anyone Interested in Radiography: Beginners or enthusiasts wanting to gain insights into elbow and forearm radiography, especially those interested in pursuing a career in medical imaging This course is ideal for those who want a structured, practical approach to understanding elbow and forearm radiographs. Homepage https://www.udemy.com/course/radiology-x-ray-of-elbow-and-forearm/ Download ( Rapidgator ) https://rg.to/file/3de2065a27fb355acdb2d1ab0b3484b0/vuodv.Radiology.XRay.of.Elbow.and.Forearm.rar.html Fikper https://fikper.com/EShAVEegEN/vuodv.Radiology.XRay.of.Elbow.and.Forearm.rar.html No Password - Links are Interchangeable

Free Download Race Vehicle Concept Design - Blender, Photoshop, Illustrator & After Effects Workflow Chris Beatty | Duration: 8:22 h | Video: H264 1920x1080 | Audio: AAC 44,1 kHz 2ch | 11,3 GB | Language: English Design a near-future racing machine in this conceptual vehicle design workshop by veteran 3D artist and concept designer, Chris Beatty. Over the course of 8 hours, Chris guides artists through his entire design process, which he has honed over two decades of experience working in the industry designing high-profile concepts for motorsports such as for the world-famous Indy 500. Chris shares his extensive knowledge, skills, and techniques with artists of all levels who are looking to master a practical "form follows function" creative process. Grounded in real-world engineering considerations, you'll learn how to style a race vehicle with a touch of science-fiction for added artistic license. This workshop uses Blender as the primary production tool. Chris demonstrates his Blender modeling techniques to sculpt the vehicle's form, showing how to maintain maximum creative freedom throughout the process. He also details how to extend the commitment point as far as possible before reaching the final modeling and rendering stage. The creative process is also complemented by Adobe Creative Cloud's Photoshop, Illustrator, and After Effects. By completing this workshop, you will develop a comprehensive understanding of how to create vehicle concepts that balance function and artistic flair, leading to greater believability in the final results. These principles can be applied to any vehicle genre, whether a real-world race car or your next spaceship project. You should emerge from this workshop feeling accomplished and knowledgeable in the art of vehicle design. The Scene Asset Animated Environment, Bike In Studio, and Bike Studio Turntable are provided as learning resources with this workshop. All HDR images are sourced from HDRI Haven; the rigged body model was sourced from CGTrader, and the motorcycle shock absorber model also came from CGTrader. Homepage https://www.thegnomonworkshop.com/tutorials/race-vehicle-concept-design Download ( Rapidgator ) https://rg.to/file/294554f2e25de979ef999710084a6aed/mvbxq.Race.Vehicle.Concept.Design.Blender.Photoshop.Illustrator..After.Effects.Workflow.part4.rar.html https://rg.to/file/65295f47e33bb6e072f2f867d1e7406a/mvbxq.Race.Vehicle.Concept.Design.Blender.Photoshop.Illustrator..After.Effects.Workflow.part6.rar.html https://rg.to/file/65b7e9d3d68a72e40b627a36c78f75df/mvbxq.Race.Vehicle.Concept.Design.Blender.Photoshop.Illustrator..After.Effects.Workflow.part5.rar.html https://rg.to/file/6b3cf6d1f4771290f1b62d5abaca2ac0/mvbxq.Race.Vehicle.Concept.Design.Blender.Photoshop.Illustrator..After.Effects.Workflow.part1.rar.html https://rg.to/file/8cf2a71d92c9129bc1b620b5ead7436d/mvbxq.Race.Vehicle.Concept.Design.Blender.Photoshop.Illustrator..After.Effects.Workflow.part2.rar.html https://rg.to/file/eb507167d269e59c3e7affb853098651/mvbxq.Race.Vehicle.Concept.Design.Blender.Photoshop.Illustrator..After.Effects.Workflow.part3.rar.html Fikper https://fikper.com/7a1Z0y6Nfx/mvbxq.Race.Vehicle.Concept.Design.Blender.Photoshop.Illustrator..After.Effects.Workflow.part1.rar.html https://fikper.com/OykpO2bGuP/mvbxq.Race.Vehicle.Concept.Design.Blender.Photoshop.Illustrator..After.Effects.Workflow.part5.rar.html https://fikper.com/RXNMlGQae8/mvbxq.Race.Vehicle.Concept.Design.Blender.Photoshop.Illustrator..After.Effects.Workflow.part4.rar.html https://fikper.com/WNwSbU9RBx/mvbxq.Race.Vehicle.Concept.Design.Blender.Photoshop.Illustrator..After.Effects.Workflow.part2.rar.html https://fikper.com/pqhmHGrWEJ/mvbxq.Race.Vehicle.Concept.Design.Blender.Photoshop.Illustrator..After.Effects.Workflow.part6.rar.html https://fikper.com/w3DLvt3KCf/mvbxq.Race.Vehicle.Concept.Design.Blender.Photoshop.Illustrator..After.Effects.Workflow.part3.rar.html No Password - Links are Interchangeable

Free Download RAG with Azure OpenAI (AI Search, CosmosDB, GraphRAG & more) Published 11/2024 Created by Kuljot Singh Bakshi MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 41 Lectures ( 8h 28m ) | Size: 3.67 GB RAG with Azure OpenAI, Vector Embeddings, Azure AI Search, Azure CosmosDB, GraphRAG, Copilot Studio, Azure AI Studio What you'll learn RAG (Retrieval Augmented Generation): Using Private Data with LLM RAG with Azure AI Search RAG with Azure CosmosDB RAG with Azure OpenAI Studio RAG with Azure AI Studio RAG with Microsoft Copilot Studio GraphRAG with Neo4j and Azure OpenAI Requirements Familiarity with Python Programming Language Some experience working with Azure and Microsoft Cloud in General General Software Engineering and development experience Description Unlock the power of Retrieval-Augmented Generation (RAG) with Azure OpenAI in this comprehensive Udemy course, designed for data professionals and AI enthusiasts eager to deepen their expertise in advanced AI techniques. This course provides hands-on insights into integrating RAG with various Azure services, enabling you to enhance knowledge retrieval within AI solutions.Learning Objectives:Master RAG with Azure AI Search:Learn how to enhance search capabilities and retrieve relevant data effectively within Azure's robust AI Search environment.Implement RAG with Azure CosmosDB:Discover methods to store, manage, and query large datasets, optimizing information retrieval for high-performance applications.Leverage RAG in Azure AI Studio:Utilize RAG within Azure AI Studio to develop custom solutions in a powerful development environment with enhanced flexibility.Develop with RAG on Microsoft Copilot Studio:Gain skills to create intelligent applications using Microsoft Copilot Studio, making user interactions more engaging and insightful.Navigate Graph RAG with Neo4j:Understand graph-based data storage and retrieval, allowing you to analyze complex relationships within data through Neo4j.This course is packed with real-world applications, practical demonstrations, and code walkthroughs, equipping you with the knowledge to implement RAG across various Azure platforms and elevate your AI projects. Join now to gain in-demand skills and take your AI capabilities to the next level with RAG and Azure OpenAI! Who this course is for Curious Developers looking to build cool apps with Azure OpenAI and GenAI Senior Software Engineers looking for GenAI application Any curious person in general looking to skill-up and keep-up with the industry! Homepage https://www.udemy.com/course/rag-with-azure-openai-ai-search-cosmosdb-graphrag-more/ Download ( Rapidgator ) https://rg.to/file/05bc843df4ddd31fc604e2b9950e0778/mjwmc.RAG.with.Azure.OpenAI.AI.Search.CosmosDB.GraphRAG..more.part2.rar.html https://rg.to/file/1697c9c720b2f603368277f924fbe1b6/mjwmc.RAG.with.Azure.OpenAI.AI.Search.CosmosDB.GraphRAG..more.part1.rar.html https://rg.to/file/342657e7067658690aaa41bea01b9d9e/mjwmc.RAG.with.Azure.OpenAI.AI.Search.CosmosDB.GraphRAG..more.part4.rar.html https://rg.to/file/9f05167d8a4c8bf807fd243fdc24b8fb/mjwmc.RAG.with.Azure.OpenAI.AI.Search.CosmosDB.GraphRAG..more.part3.rar.html Fikper https://fikper.com/FKWtgHR65a/mjwmc.RAG.with.Azure.OpenAI.AI.Search.CosmosDB.GraphRAG..more.part2.rar.html https://fikper.com/X1RVvuXDGn/mjwmc.RAG.with.Azure.OpenAI.AI.Search.CosmosDB.GraphRAG..more.part3.rar.html https://fikper.com/b0rrbvnuUR/mjwmc.RAG.with.Azure.OpenAI.AI.Search.CosmosDB.GraphRAG..more.part1.rar.html https://fikper.com/xFTfKYyQKO/mjwmc.RAG.with.Azure.OpenAI.AI.Search.CosmosDB.GraphRAG..more.part4.rar.html No Password - Links are Interchangeable

Free Download Qradar An Alternative Introduction For Everyone Published 11/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 109.28 MB | Duration: 0h 47m QRadar Basic Training For Newcomers What you'll learn Learning QRadar basics. Learning cybersecurity stuff. Enhancing your informatics education. Getting tips to study better. Requirements Computer and speakers. Description Are you learning QRadar and want to get some introduction? Are you getting yourself into cybersecurity and want to get the basics? Then, THIS IS THE COURSE FOR YOU! Learning is a never ending process and you can do it now by using this training on QRadar at basic level. Learning cybersecurity has never been as easy as now with so much material online and here you will get an introduction on what QRadar is about. It is not needed that you are some sort of expert or actually skillful at QRadar so you can get started. This course is made for people with ZERO KNOWLEDGE on the topic. At the end of the day, the thing you really need is the will to learn and as much training as you can. That should be enough to get you started into cybersecurity and QRadar. There are many tools on the internet that many companies would be willing to hire in terms of the skills that you can get, and QRadar is surely one of the because companies do want their data and personal stuff properly protected: You can be that protection!Other than that, there is not too much else to add. Keep it going on and remember to study as hard as possible so that you become a real master of the world of informatics and QRadar if you are truly dedicated. See you within the lessons in this videocourse and bye bye! Overview Section 1: Intro Lecture 1 Intro Lecture 2 Working Lecture 3 Strong Lecture 4 This Lecture 5 Powerful Lecture 6 Indeed Lecture 7 Awesome Lecture 8 Remember Lecture 9 Original Lecture 10 Understand Lecture 11 Advance Lecture 12 Technically Lecture 13 Tips Lecture 14 Consider Lecture 15 More Lecture 16 Outstanding Lecture 17 Almost Lecture 18 End Anybody who wants to learn QRadar. Homepage https://www.udemy.com/course/qradar-an-alternative-introduction-for-everyone/ Download ( Rapidgator ) https://rg.to/file/b3aa4dcf5eea9ecd3628792695cdc29e/ccdgp.Qradar.An.Alternative.Introduction.For.Everyone.rar.html Fikper https://fikper.com/B12DZfeAk0/ccdgp.Qradar.An.Alternative.Introduction.For.Everyone.rar.html No Password - Links are Interchangeable

Free Download QGIS from A to Z - Complete Course in Geoprocessing Published 11/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 5h 52m | Size: 4.18 GB Complete QGIS Course: 11+ Hours, 1000+ Slides, and Practice Files for Real-World Application What you'll learn Mastering Theoretical Fundamentals: Understanding the fundamental concepts of Cartography, GPS, Remote Sensing, and Geographic Information Systems (GIS). Mastery of Practical Tools: Ability to use geoprocessing tools, including the installation and use of QGIS software. Ability to Perform Spatial Analysis: Ability to perform spatial analysis and geographic data modeling using advanced GIS techniques. Application in Real-World Contexts: Apply knowledge in a variety of contexts: urban planning, agronomy, engineering, environmental management, and others. Requirements No prior experience is necessary. Description Welcome to the ultimate journey in the world of Geoprocessing and Geographic Information Systems (GIS)! This comprehensive course is your gateway to becoming a GIS master, empowering you to master all facets of digital mapping, spatial analysis, and location-based decision-making.From the theoretical foundations of cartography to the practical applications of Remote Sensing, GPS, and the leading QGIS software, this course covers everything you need to know to excel in the dynamic field of Geoprocessing.This course will guide you step by step, covering essential topics such as cartographic projections, geospatial data manipulation, thematic map creation, image georeferencing, and advanced GIS analyses. 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Free Download Python for Complete Beginners - Learn To Code with Python! Published 11/2024 Created by Mustapha Jibril Muhammad MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 55 Lectures ( 7h 30m ) | Size: 2.22 GB Learn Python from scratch-no prior experience needed! Gain skills through hands-on exercises and real-world projects. What you'll learn Setup and Installation: Get your development environment ready. Core Python Concepts: Understand variables, data types, loops, functions, and more. Hands-On Practice: Apply what you learn through engaging projects and coding exercises. Think Like a Programmer: Learn problem-solving skills that will help you tackle any programming challenge. Requirements A computer (Windows, macOS, or Linux) A desire to learn Python programming No prior experience needed! Description Are you looking to kickstart your programming journey or level up your coding skills? Learning to code can feel intimidating, but this course makes it fun, practical, and beginner-friendly. Whether you're a student, a professional, or just curious about programming, you're in the right place! Here's why you'll love this course:You'll benefit from this course if:You're a student needing to learn Python for school projects.Your job requires Python skills, and you want to stay ahead.You have a personal project idea and want to bring it to life.You're simply looking to learn a valuable new skill.By the end of this course, you'll have a solid foundation in Python programming, with the ability to create small, functional applications on your own.What You'll LearnThis course is designed with a step-by-step approach to help you master Python fundamentals:Setup and Installation: Get your development environment ready.Core Python Concepts: Understand variables, data types, loops, functions, and more.Hands-On Practice: Apply what you learn through engaging projects and coding exercises.Think Like a Programmer: Learn problem-solving skills that will help you tackle any programming challenge.You'll learn by doing. Every concept comes with practical examples and projects, so you can gain real-world experience and build confidence as you go.Who is this course for?Complete beginners with no prior programming experienceAnyone looking to learn Python for school, work, or personal projectsHobbyists interested in building small Python appsIndividuals wanting to gain a new, in-demand skillWhy Take This Course?Learn by Example: Every lesson is designed with clear explanations and practical projects.Hands-On Learning: Practice coding right away and develop a deeper understanding.Think Like a Programmer: Build the problem-solving mindset that separates good programmers from great ones.Guaranteed Satisfaction: Not satisfied? No problem. The course comes with a 30-day money-back guarantee, no questions asked.Ready to Start?This is your chance to gain a valuable skill that can open doors in your career or personal projects. You've got nothing to lose-enroll now and start your Python journey today! Who this course is for Complete beginners with no prior programming experience Anyone looking to learn Python for school, work, or personal projects Hobbyists interested in building small Python apps Individuals wanting to gain a new, in-demand skill Anyone eager to learn Python from scratch Curious minds looking to understand programming fundamentals Homepage https://www.udemy.com/course/python-for-complete-beginners-learn-to-code-with-python/ Download ( Rapidgator ) https://rg.to/file/16950aee207625dcdde61c96cef1d126/snlvy.Python.for.Complete.Beginners..Learn.To.Code.with.Python.part3.rar.html https://rg.to/file/b4f370db8ff48e55c0b708774d27fe14/snlvy.Python.for.Complete.Beginners..Learn.To.Code.with.Python.part1.rar.html https://rg.to/file/e9c627a7cec7f7140c202519b34cbd0a/snlvy.Python.for.Complete.Beginners..Learn.To.Code.with.Python.part2.rar.html Fikper https://fikper.com/6ZExxImwLl/snlvy.Python.for.Complete.Beginners..Learn.To.Code.with.Python.part3.rar.html https://fikper.com/LAddrL1DIj/snlvy.Python.for.Complete.Beginners..Learn.To.Code.with.Python.part1.rar.html https://fikper.com/f31ahHlKuK/snlvy.Python.for.Complete.Beginners..Learn.To.Code.with.Python.part2.rar.html No Password - Links are Interchangeable

Free Download Python Selenium Programming With Coding Exercises Published 11/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 192.57 MB | Duration: 1h 29m Master Web Automation and Testing with Hands-On Selenium Coding Challenges What you'll learn How to set up and configure Selenium with Python for web automation and testing. Techniques for writing and executing automated test scripts and web scrapers. Advanced Selenium concepts including handling dynamic content and using Selenium Grid. Best practices for debugging and handling exceptions in automation scripts. Requirements Basic knowledge of Python programming. Familiarity with HTML and web technologies is helpful but not required. Description Welcome to Python Selenium Programming with Coding Exercises, an essential course for anyone looking to automate web interactions and perform robust web testing using Python and Selenium. Selenium is a powerful tool for web automation that allows you to simulate user interactions with a web browser, making it invaluable for testing web applications and scraping web data.In the modern software development landscape, automation is crucial for improving efficiency, ensuring quality, and managing repetitive tasks. Selenium, combined with Python, provides a versatile framework for automating web interactions, making it a valuable skill for developers, testers, and data engineers. This course is designed to give you hands-on experience with Selenium and Python, enabling you to create automated test scripts and web scrapers efficiently.Throughout this course, you will cover:Introduction to Selenium and its role in web automation and testing: Learn about Selenium's architecture and how it integrates with Python.Setting up your Selenium environment: Install and configure Selenium WebDriver and related tools.Writing and executing automated test scripts: Learn how to write scripts to interact with web elements, handle forms, and simulate user actions.Advanced techniques in Selenium: Explore advanced topics such as handling dynamic content, managing cookies, and using Selenium Grid for parallel execution.Web scraping with Selenium: Understand how to use Selenium for extracting data from websites.Handling exceptions and debugging: Learn best practices for handling errors and debugging your automation scripts.Practical exercises: Apply your knowledge through hands-on coding exercises to reinforce your skills and tackle real-world scenarios.By the end of this course, you will be proficient in using Selenium with Python to automate web tasks, perform thorough web testing, and scrape data from the web efficiently.Instructor Introduction: Faisal Zamir is an experienced Python developer and educator with over 7 years of experience in teaching and working with web automation technologies. 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Overview Section 1: Introduction to Selenium and Setup Lecture 1 Introduction to Selenium and Setup Lecture 2 Lesson 01 Lecture 3 Coding Exercises Section 2: Locating Elements on a Web Page Lecture 4 Locating Elements on a Web Page Lecture 5 Lesson 02 Lecture 6 Coding Exercises Section 3: Interacting with Web Elements Lecture 7 Interacting with Web Elements Lecture 8 Lesson 03 Lecture 9 Coding Exercises Section 4: Working with Waits and Synchronization Lecture 10 Working with Waits and Synchronization Lecture 11 Lesson 04 Lecture 12 Coding Exercises Section 5: Navigating Through Pages Lecture 13 Navigating Through Pages Lecture 14 Lesson 05 Lecture 15 Coding Exercises Section 6: Handling JavaScript and AJAX Lecture 16 Handling JavaScript and AJAX Lecture 17 Lesson 06 Lecture 18 Coding Exercises Section 7: Working with Headless Browsers Lecture 19 Working with Headless Browsers Lecture 20 Lesson 07 Lecture 21 Coding Exercises Section 8: Handling Advanced Web Elements and Interactions Lecture 22 Handling Advanced Web Elements and Interactions Lecture 23 Lesson 08 Lecture 24 Coding Exercises Section 9: Test Frameworks and Selenium Lecture 25 Test Frameworks and Selenium Lecture 26 Lesson 09 Lecture 27 Coding Exercises Section 10: Building a Complete Selenium Automation Lecture 28 Building a Complete Selenium Automation Lecture 29 Lesson 10 Lecture 30 Coding Exercises Developers and testers looking to enhance their skills in web automation and testing.,Python enthusiasts interested in learning how to automate web tasks and scrape data.,Professionals aiming to improve their efficiency and accuracy in web-related tasks. 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Free Download Python Scipy Programming with Coding Exercises Published 11/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 33m | Size: 313 MB Unlock the Power of Scientific Computing with Python SciPy What you'll learn How to use SciPy for optimization, integration, and interpolation tasks. Techniques for solving linear algebra problems and performing statistical computations with SciPy. Methods for processing signals and applying Fourier transforms. Practical applications of SciPy in solving real-world scientific and engineering problems. Requirements Basic knowledge of Python programming. Familiarity with fundamental mathematical concepts. Description Welcome to Python SciPy Programming with Coding Exercises, a comprehensive course designed to help you master the SciPy library, one of the most powerful tools for scientific and technical computing in Python. SciPy is widely used in various fields such as engineering, physics, mathematics, and data science due to its ability to perform complex computations with ease. This course is specifically designed to provide you with hands-on experience through coding exercises that will deepen your understanding of SciPy and its vast capabilities.Why is learning SciPy necessary? In today's data-driven world, the ability to perform efficient scientific computations and data analysis is crucial. SciPy offers a wide range of modules for optimization, integration, interpolation, eigenvalue problems, and other scientific tasks. Whether you are working in academia, research, or industry, having a strong grasp of SciPy will enhance your ability to solve complex problems and contribute to impactful projects.Throughout this course, you will engage in practical coding exercises covering a wide range of topics, including:Introduction to SciPy and its ecosystemOptimization techniques using SciPy's optimize modulePerforming numerical integration with integrateWorking with special functions using specialInterpolation methods for data fittingSolving linear algebra problems with linalgSignal processing with signalStatistical computations using statsFourier transforms and other advanced scientific computationsEach exercise is carefully crafted to build your proficiency in SciPy, enabling you to apply these techniques to real-world scientific and engineering challenges.Instructor Introduction: Your instructor, Faisal Zamir, brings over 7 years of experience in teaching and Python development. With his extensive knowledge in scientific computing and a passion for teaching, Faisal is committed to guiding you through the complexities of SciPy with clear explanations and practical examples.Certificate at the End of the Course: Upon completing this course, you will receive a certificate of achievement that recognizes your proficiency in scientific computing with Python SciPy. This certificate can be a valuable addition to your professional credentials. Who this course is for Students and professionals in engineering, physics, mathematics, or data science who want to leverage SciPy for scientific computing. Python developers looking to expand their skillset into scientific and technical computing. Researchers and analysts who need to perform complex computations and data analysis. Homepage https://www.udemy.com/course/python-scipy-programming-with-coding-exercises/ Download ( Rapidgator ) https://rg.to/file/700218e32ba1166e8c2f715418c07eee/duqzw.Python.Scipy.Programming.with.Coding.Exercises.rar.html Fikper https://fikper.com/w3d4NBDFbD/duqzw.Python.Scipy.Programming.with.Coding.Exercises.rar.html No Password - Links are Interchangeable

Free Download Python Pytorch Programming with Coding Exercises Published 11/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 26m | Size: 305 MB Master Deep Learning with PyTorch Through Hands-On Coding Challenges What you'll learn How to build, train, and evaluate neural networks using PyTorch. Techniques for optimizing deep learning models, including regularization and transfer learning. Implementation of CNNs and RNNs for complex tasks in image and sequence data. Practical skills in applying PyTorch to real-world deep learning projects. Requirements A basic understanding of Python programming. Familiarity with fundamental machine learning concepts. Description Welcome to Python PyTorch Programming with Coding Exercises, a dynamic course designed to equip you with the skills and knowledge required to excel in deep learning using the powerful PyTorch framework. PyTorch is one of the most popular and widely used deep learning libraries, trusted by researchers and developers worldwide for its flexibility and efficiency in building neural networks.In today's rapidly evolving tech landscape, deep learning has become a critical skill, driving advancements in AI, machine learning, and data science. Understanding PyTorch is essential for anyone looking to delve into deep learning, as it offers a seamless way to design, implement, and optimize neural networks. This course is essential for those who aim to stay at the forefront of AI and machine learning.This course is meticulously structured to guide you through the fundamental and advanced concepts of PyTorch, with a focus on practical application through coding exercises. You'll explore a wide range of topics, including:Introduction to PyTorch and its significance in the deep learning ecosystem.Building and training neural networks from scratch using PyTorch.Implementing various layers and activation functions for customized model architectures.Training, validation, and testing of deep learning models.Handling overfitting with regularization techniques and optimizing model performance.Understanding and implementing convolutional neural networks (CNNs) and recurrent neural networks (RNNs).Working with datasets and data loaders for efficient training.Transfer learning and fine-tuning pre-trained models for specific tasks.Each coding exercise is designed to reinforce your understanding of these concepts, ensuring that you not only learn but also apply PyTorch to solve real-world deep learning problems.Instructor Introduction: Your instructor, Faisal Zamir, brings over 7 years of experience in teaching Python and deep learning. As a Python developer and educator, Faisal has successfully guided countless students in mastering complex programming concepts, making this course both accessible and deeply informative.Certificate at the End of the Course: Upon successfully completing the course, you will receive a certificate of completion. This certificate will validate your expertise in using PyTorch for deep learning, enhancing your professional credibility and career prospects. Who this course is for Aspiring data scientists and AI enthusiasts looking to learn deep learning. Machine learning engineers who want to expand their skills with PyTorch. Python developers interested in applying their programming skills to the field of AI and deep learning. Homepage https://www.udemy.com/course/python-pytorch-programming-with-coding-exercises/ Download ( Rapidgator ) https://rg.to/file/6d79726047d48f1c8b7e4a174507670d/svdkn.Python.Pytorch.Programming.with.Coding.Exercises.rar.html Fikper https://fikper.com/kf9JXxthlV/svdkn.Python.Pytorch.Programming.with.Coding.Exercises.rar.html No Password - Links are Interchangeable

Free Download Python Pygame - Game Development With Coding Exercises Published 11/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 243.88 MB | Duration: 1h 34m Create Interactive Games and Simulations with PyGame: Learn by Doing! What you'll learn How to set up and use the PyGame library for game development. Techniques for creating and manipulating game elements like sprites and sounds. Implementation of game mechanics such as user input, physics, and collision detection. Skills to develop, debug, and optimize complete games and interactive projects. Requirements Basic knowledge of Python programming. Familiarity with basic programming concepts such as variables and loops. Description Welcome to Python PyGame Programming with Coding Exercises, your gateway to learning game development using the PyGame library. PyGame is a versatile library that simplifies the process of game development in Python, allowing you to create engaging and interactive games with ease. Whether you're a beginner eager to learn game programming or an experienced developer looking to expand your skillset, this course offers hands-on coding exercises to solidify your understanding and enhance your abilities.In today's tech-driven world, the ability to develop games and simulations is a highly sought-after skill. PyGame provides an accessible yet powerful platform for game development, making it an essential tool for hobbyists and professionals alike. This course is designed to help you leverage PyGame to build interactive applications and games, while also giving you practical experience through coding exercises.Throughout this course, you will explore:Introduction to PyGame and game development fundamentals: Learn about the PyGame library, its setup, and the core principles of game design.Creating game elements: Understand how to create and manipulate game assets like sprites, backgrounds, and sound effects.Building game mechanics: Learn how to implement key features such as user input, game physics, and collision detection.Developing complete games: Apply your knowledge to create simple yet fully functional games, including classic examples like Pong and Space Invaders.Advanced topics: Explore more complex concepts such as game loops, scoring systems, and level design.Debugging and optimizing: Learn best practices for debugging your code and optimizing game performance.By the end of this course, you'll have a solid foundation in game development with PyGame, equipped with the skills to create your own games and interactive projects.Instructor Introduction: Faisal Zamir is an experienced Python developer and educator with over 7 years of teaching experience. 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Free Download Python Projects with Python Programming Published 11/2024 Created by Anshu Goyal MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 26 Lectures ( 3h 28m ) | Size: 891 MB Transforming Concepts into Real-World Applications What you'll learn Practical Project Development Familiarity with Python Libraries Problem-Solving Skills Confidence in Python Programming Requirements Basic Understanding of Programming Concepts: Learners should have a foundational knowledge of programming concepts such as variables, control structures (if statements, loops), and functions. Familiarity with any programming language will be beneficial. Python Installation: Students must have Python installed on their computers. Instructions for installation and setting up a coding environment will be provided during the course. Text Editor or IDE: Participants should have access to a text editor (like Visual Studio Code, Atom, or Sublime Text) or an Integrated Development Environment (IDE) such as PyCharm. These tools will be used for coding exercises and project development. Willingness to Learn: A positive attitude and eagerness to explore Python programming and project development are essential. This course is designed for both beginners and those with some experience, so a curiosity to learn will be the key to success. Description Unlock the practical side of Python with our hands-on course, Applied Python: Building Projects with Python Programming! This course is designed to take you from Python basics to real-world project-building, making Python your go-to tool for problem-solving and innovation. Perfect for beginners and intermediate Python enthusiasts alike, this course introduces key programming concepts and applies them in practical projects across data analysis, web development, automation, and more.You'll learn how to:Build projects that solve real-world problems and gain hands-on experience.Implement Python in web scraping, data visualization, and automation.Design functional applications with a clear step-by-step approach.Explore powerful libraries such as Pandas, Flask, and BeautifulSoup.By the end of this course, you'll have the skills and confidence to take on your own Python projects and tackle new challenges independently. Whether you're preparing for a career in tech, aiming to upskill, or simply exploring Python's potential, this course will help you reach your goals.Who is this course for?Aspiring Python developers wanting to enhance their skills through real projects.Students, data enthusiasts, and professionals looking to broaden their programming toolkit.Anyone with a basic understanding of Python aiming to transition from theory to hands-on applications.Enroll today and embark on a journey that transforms your Python skills into real-world applications! Who this course is for Aspiring Python Developers: Individuals looking to kickstart their careers in tech will find this course invaluable as it provides essential project-building experience and a solid foundation in Python. Students and Educators: High school or college students studying computer science or related fields can use this course to supplement their knowledge and gain hands-on experience that will enhance their academic performance. Data Enthusiasts: Professionals or hobbyists interested in data analysis, data science, or data visualization will benefit from learning how to manipulate and visualize data effectively using Python. Tech Professionals Looking to Upskill: Individuals currently working in technology or adjacent fields who want to broaden their skill set and learn how to leverage Python for automation, web development, or data processing. Beginners in Programming: Those with no prior programming experience but a strong desire to learn will find a welcoming introduction to Python, focusing on hands-on projects that build confidence and competence. Homepage https://www.udemy.com/course/python-projects-with-python-programming/ Download ( Rapidgator ) https://rg.to/file/32f7109e13767bbdddba8be9013301b4/mjpkb.Python.Projects.with.Python.Programming.rar.html Fikper https://fikper.com/L3TAyMOzmw/mjpkb.Python.Projects.with.Python.Programming.rar.html No Password - Links are Interchangeable

Free Download Python Programming for Cybersecurity From Zero to Defender Published 11/2024 Created by Alexander Oni MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 73 Lectures ( 7h 44m ) | Size: 1.88 GB Learn how to code with the Python programming language in a way that is relevant to cyber security What you'll learn Understand the basics of programming Understand Fundamental Python Syntax and Structure Apply Control Structures to Build Decision-Making Programs Handle and Process Data using Python Data Structures Utilize File Handling for Security Applications Use Modules and Libraries to Enhance Functionality Implement Object-Oriented Programming Concepts Understand Basic Security Practices in Python Programming Requirements Basic cyber security knowledge Description Python Basics for Cybersecurity Professionals is designed to equip you with foundational Python programming skills essential for today's security landscape. Tailored specifically for cybersecurity enthusiasts and professionals, this course will take you from Python basics to building scripts that automate security tasks, handle sensitive data securely, and interact with system resources efficiently.Who Is This Course For?Aspiring cybersecurity professionals looking to build Python skills for entry-level roles.Current security analysts who want to enhance their toolkits with Python for automating tasks.IT and security enthusiasts with little or no programming background who want to start using Python in a security context.No previous programming experience is required-just a willingness to learn and explore!What You'll LearnThrough hands-on exercises, real-world examples, and project-based learning, you'll gain:Python Fundamentals: Start from scratch with Python syntax, variables, data types, control structures, and functions.Data Handling for Security: Manage and process data with Python's lists, dictionaries, and file handling capabilities, essential for working with logs, IP addresses, and credentials.File Management and Automation: Open, read, and write files to automate repetitive tasks and streamline data processing.Secure Programming Practices: Learn to safely handle passwords, hash data, and manage sensitive information following best security practices.Intro to Object-Oriented Programming: Discover how classes and objects can help you build modular, reusable code for security applications.Practical Cybersecurity Applications: Build scripts to solve security-related tasks, such as checking login attempts, filtering suspicious IPs, and working with basic encryption.Course HighlightsCybersecurity-Focused Projects: Apply what you learn in projects that simulate real-world security scenarios.Step-by-Step Guidance: Each module builds on the previous one, making it easy to follow along, even if you're new to programming.Hands-On Learning: Gain practical experience with labs, exercises, and quizzes to reinforce each skill.Code Along with Examples: Follow cybersecurity-themed examples to apply Python in ways that make sense for security tasks.Why Python for Cybersecurity?Python is one of the most versatile languages in cybersecurity, offering flexibility, simplicity, and an extensive library ecosystem perfect for data analysis, automation, and threat detection. Whether you're scanning logs, analyzing network traffic, or creating custom tools, Python can empower you to work more effectively and make an impact in your security role.Join the Course Today!Take your first step into Python programming and start building skills that will support your cybersecurity career. By the end of this course, you'll be able to confidently use Python to automate tasks, analyze data, and create security-focused scripts.Enroll now and get ready to harness the power of Python for cybersecurity! Who this course is for Cyber security professionals who want to learn the basics of Python Students who want to learn how to program with Python Homepage https://www.udemy.com/course/python-programming-for-cybersecurity-from-zero-to-defender/ Download ( Rapidgator ) https://rg.to/file/05f1fdf8b6748d2581788e930aedbdce/irdjn.Python.Programming.for.Cybersecurity.From.Zero.to.Defender.part1.rar.html https://rg.to/file/a82ef54107b8a3b4818a3d67d4de501b/irdjn.Python.Programming.for.Cybersecurity.From.Zero.to.Defender.part2.rar.html Fikper https://fikper.com/MWWqOGEfzx/irdjn.Python.Programming.for.Cybersecurity.From.Zero.to.Defender.part2.rar.html https://fikper.com/fndtI1ZA4y/irdjn.Python.Programming.for.Cybersecurity.From.Zero.to.Defender.part1.rar.html No Password - Links are Interchangeable

Free Download Python Programming Mastery - Unlock the Power of Coding Published 11/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 3h 38m | Size: 1.42 GB Python programming from scratch to advanced concepts & unlock the full potential of coding in this comprehensive course. What you'll learn Introduction to Python Installing Python and Setting up the Environment Basic Data Types (Numbers, Strings, Lists, Tuples, Dictionaries, Sets) Control Flow (If-Else statements, Loop For, While Loop) Classes and Objects Operators and Expressions Functions and Modules Encapsulation and Abstraction Regular Expressions Modules and Packages NumPy and Pandas for Data Manipulation and Analysis Matplotlib for Data Visualization Django for Web Development Flask for Lightweight Web Development Code Optimization and Performance Tuning Requirements No Prior Experience Required Description Unlock the full potential of coding with "Python Programming Mastery: Unlock the Power of Coding"-a comprehensive course designed for beginners and those looking to deepen their Python programming skills. This course will guide you step-by-step from basic concepts to advanced techniques, making you a confident Python programmer ready to tackle real-world projects.You'll begin by mastering the fundamentals of Python, including variables, data types, control structures, and functions. As you progress, you'll explore more advanced topics such as object-oriented programming (OOP), file handling, data manipulation, and popular Python libraries like NumPy and Pandas.Course Outline:Python FundamentalsIntroduction to PythonInstalling Python and Setting up the EnvironmentBasic Data Types (Numbers, Strings, Lists, Tuples, Dictionaries, Sets)Operators and ExpressionsControl Flow (If-Else statements, Loop For, While Loop)Functions and ModulesObject-Oriented Programming (OOP) in PythonClasses and ObjectsInheritance and PolymorphismEncapsulation and Abstraction Exception HandlingAdvanced Python ConceptsRegular ExpressionsFile I/OModules and PackagesDecorators and GeneratorsFunctional Programming in PythonMetaclassesPython Libraries and FrameworksNumPy and Pandas for Data Manipulation and AnalysisMatplotlib for Data VisualizationScikit-learn for Machine LearningDjango for Web DevelopmentFlask for Lightweight Web DevelopmentPython Project DevelopmentTesting and DebuggingCode Optimization and Performance TuningDeployment and MaintenanceThrough engaging lessons, hands-on projects, and coding challenges, you'll develop problem-solving skills and build a portfolio of Python projects. By the end of the course, you'll be equipped to apply Python in diverse fields like web development, automation, data analysis, and even artificial intelligence.This course is your pathway to mastering Python and unlocking endless possibilities in the world of coding. Whether you're aiming for a career in tech or just want to enhance your programming skills, this is the course for you! Who this course is for Anyone interested in becoming a proficient Python Programming. Homepage https://www.udemy.com/course/python-programming-mastery-unlock-the-power-of-coding/ Download ( Rapidgator ) https://rg.to/file/37b4a74fa6ceee27f55dc4a5dec4b8e3/qyeyh.Python.Programming.Mastery.Unlock.the.Power.of.Coding.part2.rar.html https://rg.to/file/fba14d5f38514c4f0c4fd50b9fd954a9/qyeyh.Python.Programming.Mastery.Unlock.the.Power.of.Coding.part1.rar.html Fikper https://fikper.com/NYrYeH94ue/qyeyh.Python.Programming.Mastery.Unlock.the.Power.of.Coding.part2.rar.html https://fikper.com/bnoXM4xLZa/qyeyh.Python.Programming.Mastery.Unlock.the.Power.of.Coding.part1.rar.html No Password - Links are Interchangeable

Free Download Python Matplotlib Programming With Coding Exercises Published 11/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 144.88 MB | Duration: 1h 12m Master Data Visualization in Python with Hands-On Matplotlib Challenges What you'll learn How to create and customize various types of plots using Matplotlib. Techniques for enhancing the clarity and aesthetic appeal of your data visualizations. The ability to work with subplots and complex visualizations in Matplotlib. Practical experience in applying Matplotlib to real-world data visualization projects. Requirements Basic knowledge of Python programming. Description Welcome to Python Matplotlib Programming with Coding Exercises, your comprehensive guide to mastering data visualization using the powerful Matplotlib library. Matplotlib is a cornerstone of Python's data visualization tools, allowing you to create stunning and informative graphs, plots, and charts that make data analysis more accessible and understandable.In today's data-driven world, the ability to effectively visualize data is essential for professionals across various fields. Whether you're a data scientist, analyst, or a Python enthusiast, learning how to use Matplotlib to its fullest potential will significantly enhance your data storytelling skills. This course is designed to address the growing need for clear, impactful data visualizations that drive decision-making and insights.Throughout this course, you will delve into the essential and advanced features of Matplotlib, gaining hands-on experience with coding exercises that reinforce your learning. Here's what you'll cover:Introduction to Matplotlib and its importance in data visualization.Understanding the anatomy of Matplotlib plots and customizing them for clarity and aesthetic appeal.Creating various types of plots including line, bar, scatter, histogram, and pie charts.Working with subplots to create complex, multi-layered visualizations.Adding labels, titles, legends, and annotations to enhance the interpretability of your plots.Styling plots with colors, markers, and line styles to match your data's narrative.Saving and exporting your visualizations for presentations and reports.Each coding exercise is crafted to help you build a solid foundation in Matplotlib, ensuring that you can confidently visualize data in your projects and presentations.Instructor Introduction: Your instructor, Faisal Zamir, has over 7 years of experience in teaching Python and data visualization. As a seasoned Python developer and educator, Faisal has a deep understanding of how to convey complex programming concepts in an easy-to-understand manner, making this course perfect for learners at all levels.Certificate at the End of Course: Upon completing the course, you will receive a certificate of completion, showcasing your proficiency in Matplotlib and your ability to create professional-grade data visualizations. Overview Section 1: Introduction to Matplotlib Lecture 1 Introduction to Matplotlib Lecture 2 Lesson 01 Lecture 3 Coding Exercises Section 2: Basic Plotting Techniques Lecture 4 Basic Plotting Techniques Lecture 5 Lesson 02 Lecture 6 Coding Exercises Section 3: Working with Scatter Plots and Histograms Lecture 7 Working with Scatter Plots and Histograms Lecture 8 Lesson 03 Lecture 9 Coding Exercises Section 4: Plot Customization and Aesthetics Lecture 10 Plot Customization and Aesthetics Lecture 11 Lesson 04 Lecture 12 Coding Exercises Section 5: Advanced Plot Types Lecture 13 Advanced Plot Types Lecture 14 Lesson 05 Lecture 15 Coding Exercises Section 6: Working with Time Series Data Lecture 16 Working with Time Series Data Lecture 17 Lesson 06 Lecture 18 Coding Exercises Section 7: Advanced Customization and Styles Lecture 19 Advanced Customization and Styles Lecture 20 Lesson 07 Lecture 21 Coding Exercises Section 8: Data Visualization with Seaborn Integration Lecture 22 Data Visualization with Seaborn Integration Lecture 23 Lesson 08 Lecture 24 Coding Exercises Section 9: Advanced Plotting Techniques Lecture 25 Advanced Plotting Techniques Lecture 26 Lesson 09 Lecture 27 Coding Exercises Section 10: Performance Optimization and Best Practices Lecture 28 Performance Optimization and Best Practices Lecture 29 Lesson 10 Lecture 30 Coding Exercises Data scientists and analysts looking to improve their data visualization skills.,Python developers interested in learning how to effectively visualize data.,Anyone who wants to enhance their ability to communicate insights through data visualizations. Homepage https://www.udemy.com/course/python-matplotlib-programming-with-coding-exercises/ Download ( Rapidgator ) https://rg.to/file/37f51772c4c93cf604bfce91a92a613d/yhytb.Python.Matplotlib.Programming.With.Coding.Exercises.rar.html Fikper https://fikper.com/TGcw3Kcn9R/yhytb.Python.Matplotlib.Programming.With.Coding.Exercises.rar.html No Password - Links are Interchangeable

Free Download Python Masterclass 2025 - Zero To Job Ready With 15 Projects Last updated 11/2024 Created by Shubham Sarda MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 244 Lectures ( 24h 47m ) | Size: 8.65 GB Master Python: Go Basics To Advance With Projects (Web, GUI, Automation, Scraping, Data Analysis, OpenAI ChatGPT & More) What you'll learn Learn to write clean Python code keeping project building approach in mind Integrating ChatGPT to our regular day learning to understand things 2x faster Understand fundamental, intermediate and advanced concepts with detailed explanations and examples! Work on 13 different projects and 2 assignments with modules: OpenCV, Pandas, Tkinter, Tweepy, Pillow, BeautifulSoup, OpenAI, Flask & More! Learn about 4 Pillars of Object Oriented Programming Build problem solving skill with practical examples and project implementations Use ChatGPT to build project from scratch, build, explain and modify anything! Explore new features included in Python latest versions including Python 3.12 Explore different niches through projects: Web & Desktop Application, Data Analysis, Work with API, Web Scraping, Automation & More! Explore OpenAI API for custom projects: AI Chatbot, Podcast Script Writer, Image Generation with DALL-E & More! Requirements Windows or Mac Operating System with Internet Connection. Description Welcome to Python Programming A-Z. One course to start your Python Journey as a beginner step-by-step. The course touches on every important concept of Python with explanations, examples & implementation. 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Custom Exception - Raising Exception, Creating, and Raising a Custom Exception.Advanced Concepts:RecursionMap, Filter and ReduceList ComprehensionRegular ExpressionsDecoratorsLoggingDate and TimeWalrus Operator, Positional-Only Argument & f-StringUnion Operator, Type Hinting & Native Time SupportStructural Pattern MatchingException Notes, Better Error Message & Speed ImprovementProjects:Face Detection with OpenCVPassword Generator with Random ModuleData Analysis with PandasAccessing Data through CoinMarketCap APIBuilding Desktop Applications with Tkinter and Integrating SQLite3 Database.Automated Twitter Bot with TweepyAutomated Web Scraper and mailing with BeautifulSoupAutomated Social Media Image Generation using Pillow library and OpenWeatherMap APIPodcast Script Writer with OpenAIConversational Chatbot with OpenAIImage Generator with DALL-EVideo Summarizer with ChatGPTPortfolio Web Application with Flask FrameworkOverall we work on 13 different projects and 2 assignments With OpenCV, Pandas, Tkinter, Tweepy, Pillow, BeautifulSoup, OpenAI, Flask & more. Some projects cover only basics whereas others are in-depth. The main goal of this course is to learn programming by building projects.Why this course?Complete course is focused on the project-building approach, you learn every concept through a logical approach. Learn all important concepts in the simplest possible way with many examples and projects. No previous programming or coding experience is required, we will cover everything step-by-step from basics.After completing this course you will be ready to work as an Intern, fresher, or freelancer and you will also be able to implement everything yourself! Most importantly you will be ready to divide deep with other niche dependent scopes with Python. Enroll now, I will make sure you learn the best about Python. 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Free Download Python Keras Programming with Coding Exercises Published 11/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 31m | Size: 321 MB Unlock the Power of Deep Learning with Hands-On Keras Coding Challenges What you'll learn How to build and train deep learning models using Keras. Techniques for evaluating, tuning, and optimizing neural networks. Practical experience with various types of models, including convolutional and recurrent networks. Advanced topics such as transfer learning and custom layer implementation. Requirements Basic knowledge of Python programming. Fundamental understanding of machine learning concepts is helpful but not required. Description Welcome to Python Keras Programming with Coding Exercises, your ultimate guide to mastering deep learning using the Keras library. Keras is a high-level API that simplifies the process of building and training deep learning models, making it a popular choice for both beginners and experienced practitioners in the field of machine learning.In today's rapidly evolving technological landscape, deep learning has become a crucial component of data science and artificial intelligence. The ability to design, train, and optimize neural networks is essential for tackling complex problems in image recognition, natural language processing, and more. This course is designed to help you harness the power of Keras to build advanced deep learning models with ease.Throughout this course, you will gain practical experience with Keras through hands-on coding exercises that cover the following topics:Introduction to deep learning and the role of Keras in simplifying neural network development.Fundamentals of neural networks, including layers, activation functions, and optimization techniques.Building and training various types of models such as feedforward, convolutional, and recurrent neural networks.Techniques for model evaluation, tuning, and optimization to achieve high performance.Practical exercises on real-world datasets to apply your knowledge and solve complex problems.Advanced topics including transfer learning, fine-tuning pre-trained models, and implementing custom layers.Each exercise is designed to reinforce your understanding of Keras and deep learning principles, ensuring that you are well-equipped to apply these skills in your own projects.Instructor Introduction: Your instructor, Faisal Zamir, brings over 7 years of experience in teaching Python and deep learning. As an accomplished Python developer and educator, Faisal's expertise and engaging teaching style will guide you through the complexities of Keras and deep learning, making your learning experience both effective and enjoyable.Certificate at the End of Course: Upon completing the course, you will receive a certificate that acknowledges your proficiency in Keras programming and deep learning, enhancing your professional credentials. Who this course is for Data scientists and machine learning practitioners looking to enhance their deep learning skills. Python developers interested in learning how to implement neural networks using Keras. Individuals aiming to build and deploy deep learning models for real-world applications. Homepage https://www.udemy.com/course/python-keras-programming-with-coding-exercises/ Download ( Rapidgator ) https://rg.to/file/15f7f0383b4429fbda5d48bb8436b155/uyqok.Python.Keras.Programming.with.Coding.Exercises.rar.html Fikper https://fikper.com/CrioiDuZVi/uyqok.Python.Keras.Programming.with.Coding.Exercises.rar.html No Password - Links are Interchangeable