Python Scientific Visualizations With Plotly

[Bo0mB0oma]

 

Python Scientific Visualizations With Plotly

mp4 | AVC: 1280x720 G_P| Audio:AAC LC 128 Kbps | Total files:114 | mp4, txt, pdf, vtt, html | 2.86 GB

Genre: eLearning | Language: English

 

General:

 

What you'll learn

Understand the Scientific Python Ecosystem

Understand Data Science and Plotly

Learn basics of NumPy Fundamentals

Learn Advanced Data Visualization

Scientific Visualizations

Course content

Expand all 53 lectures06:00:58

+Introduction

5 lectures07:19

+Python 3 on Windows

2 lectures12:38

+Python 3 on Raspberry Pi

8 lectures01:00:40

+Python 3 Basics

5 lectures35:35

+Python Package Index and pip

3 lectures18:44

+Installing NumPy and Matplotlib

2 lectures10:26

+Jupyter Notebook

7 lectures59:59

+Getting Started with NumPy

5 lectures35:40

+Creation of Arrays and Matplotlib

4 lectures33:09

+Random Sampling

1 lecture04:58

+Array Manipulation

1 lecture27:41

+Bitwise Operations

1 lecture03:35

+Statistical Functions

1 lecture05:17

+Plotting in detail

4 lectures39:15

+Install SciPy

3 lectures05:57

+Downloadable Contents

1 lecture00:03

Requirements

Windows PC/ Raspberry Pi with Internet Connection

Zeal and enthusiasm to learn new things

a burning desire to take your career to the next level

Basic Programming and Python Programming Basics

basic mathematics knowledge will be greatly appreciated

Description

Become a Master in Data Acquisition and Visualization with Python 3 and acquire employers' one of the most requested skills of 21st Century! An expert level Data Science can earn minimum $100000 (that's five zeros after 1) in today's economy.

This is the most comprehensive, yet straight-forward course for the Data Science with Python 3 on Udemy! Whether you have never worked with Data Visualization before, already know basics of Python, or want to learn the advanced features of Plotly with Python 3, this course is for you! In this course we will teach you Scientific Data Visualization with Python 3, Jupyter, NumPy, Matplotlib, and Plotly .

(Note, we also provide you PDFs and Jupyter Notebooks in case you need them)

With over 50 lectures this comprehensive course leaves no stone unturned in teaching you Scientific Data Visualizations with Python 3 and Plotly!

This course will teach you Data Science in a very practical manner, with every lecture comes a programming video and a corresponding Jupyter notebook that has Python 3 code! Learn in whatever manner is the best for you!

We will start by helping you get Python3, NumPy, matplotlib, Jupyter, Pandas, and Plotly installed on your Windows computer and Raspberry Pi.

We cover a wide variety of topics, including:

Basics of Scientific Python Ecosystem

Basics of Pandas

Basics of NumPy and Matplotlib

Installation of Python 3 on Windows

Setting up Raspberry Pi

Tour of Python 3 environment on Raspberry Pi

Jupyter installation and basics

NumPy Ndarrays

Array Creation Routines

Basic Visualization with Matplotlib

Ndarray Manipulation

Random Array Generation

Bitwise Operations

Statistical Functions

Basics of Matplotlib

Installation of SciPy

Linear Algebra with NumPy and SciPy

Data Acquisition with Python 3

Basics of Plotly

Scientific Visualizations with Plotly

You will get lifetime access to over 40 lectures plus corresponding PDFs and the Jupyter notebooks for the lectures!

This course comes with a 30 day money back guarantee! If you are not satisfied in any way, you'll get your money back.

So what are you waiting for? Learn Data Science with Python 3 in a way that will advance your career and increase your knowledge, all in a fun and practical way!

Who this course is for:

Data Science Professionals: Data Scientists and Data Engineers

AI and Machine Learning Professionals

Scientists, Mathematicians, Physicists, and Engineers

Python Developers and Programmers

Managers and Business Professionals

Anyone who wants to learn

 

Video:

 

Width: 1280 pixels

Height: 720 pixels

Format: AVC

Codec: AVC

Duration: 6min 15s

Bit rate: 465 Kbps

Frame rate: 30.000 fps

Aspect ratio: 16:9

Bit depth: 8 bits

Color space: YUV

~Golden_Plaza~

Subtitles: N/A

 

Audio:

 

Audio track: 1

Language: N/A

Codec: AAC LC

Channels: 2

Bit rate: 128 Kbps N/A

Compression: Lossy

Sampling rate: 44 Khz

 

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