Python 3 Deep Dive (Part 3 – Hash Maps). 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.
Table of Contents
Python 3 Deep Dive (Part 3 – Hash Maps) Description
Requirements
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This is an advanced course, so a solid Python foundation is necessary
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Jupyter Notebooks
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functional programming (zip, map, sorted, any, all, etc)
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lambdas, closures and decorators
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built-in decorators such as @lru_cache, @singledispatch and @wraps
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iterables, iterators, generators and context managers
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variable scopes and namespaces (globals, locals, etc)
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ability to install 3rd party libraries (e.g. pip install)
Python 3 Deep Dive (Part 2 – Iteration, Generators)
What you’ll learn
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Associative Arrays
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Hash Tables and Hash Functions
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Python’s implementation of hash tables
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Dictionaries and Sets
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Defining hash functions for our custom classes and why that is useful
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Creating customized dictionaries using the UserDict class
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defaultdict
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OrderedDict and Python3.6+ equivalences
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Counter (multi-sets)
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ChainMap
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Serialization and Deserialization
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JSON serialization/deserialization
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Intro to JSONSchema, Marshmallow, PyYaml and Serpy 3rd party libraries
Who this course is for:
- Python developers who want a deeper understanding of Python dictionaries and related topics
Python 3 Deep Dive (Part 3 – Hash Maps) Free Download
Content From: https://www.udemy.com/course/python-3-deep-dive-part-3/
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