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Python 3 Deep Dive (Part 3)


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Python 3: Deep Dive (Part 3)

Video: .MP4, 1280x720 | Audio: AAC, 44kHz, 2ch | Duration: 20.5h

Genre: eLearning | Language: English | Size: 2,26 GB

 

Dictionaries, Sets, and Related Data Structures

 

This course is an in-depth look at Python dictionaries.

 

Dictionaries are ubiquitous in Python. Classes are essentially dictionaries, modules are dictionaries, namespaces are dictionaries, sets are dictionaries and many more.

 

In this course we'll take an in-depth look at:

 

associative arrays and how they can be implemented using hash maps

 

hash functions and how we can leverage them for our own custom classes

 

Python dictionaries and sets and the various operations we can perform with them

 

specialized dictionary structures such as OrderedDict and how it relates to the built-in Python3.6+ dict

 

Python's implementation of multi-sets, the Counter class

 

the ChainMap class

 

how to create custom dictionaries by inheriting from the UserDict class

 

how to serialize and deserialize dictionaries to JSON

 

the use of schemas in custom JSON deserialization

 

a brief introduction to some useful libraries such as JSONSchema, Marshmallow, PyYaml and Serp

 

***** Prerequisites *****

 

Please note that this is a relatively advanced Python course, and a strong knowledge of some topics in Python is required.

 

Beyond the basics of Python (loops, conditional statements, exception handling, built-in data types, creating classes, etc), you should also have an in-depth understanding of the following topics:

 

functions and functional programming (recursion, *args, **kwargs, zip, map, sorted, any, all, etc)

 

lambdas, closures and decorators (including standard decorators such as @singledispatch, @wraps, etc)

 

iterables, iterators, generators and context managers

 

named tuples

 

variable scopes and namespaces (globals, locals, etc)

 

For this course you will also need to install some 3rd party libraries, so you need to be comfortable with doing this using the tool of your choice (e.g. pip, conda, etc)

 

Finally, most of the code in this course is illustrated using the freely available Jupyter Notebooks, so you will need that as well.

 

Who this course is for:

Python developers who want a deeper understanding of Python dictionaries and related topics

 

What you'll learn

Associative Arrays

Hash Tables and Hash Functions

Python's implementation of hash tables

Dictionaries and Sets

Defining hash functions for our custom classes and why that is useful

Creating customized dictionaries using the UserDict class

defaultdict

OrderedDict and Python3.6+ equivalences

Counter (multi-sets)

ChainMap

Serialization and Deserialization

JSON serialization/deserialization

Intro to JSONSchema, Marshmallow, PyYaml and Serpy 3rd party libraries

 

Special Thanks to AlbinoIvan

 

Homepage

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