Python 3: Deep Dive (Part 1 – Functional)
Variables, Functions and Functional Programming, Closures, Decorators, Modules and Packages
What you’ll learn
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An in-depth look at variables, memory, namespaces and scopes
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A deep dive into Python’s memory management and optimizations
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In-depth understanding and advanced usage of Python’s numerical data types (Booleans, Integers, Floats, Decimals, Fractions, Complex Numbers)
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Advanced Boolean expressions and operators
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Advanced usage of callables including functions, lambdas and closures
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Functional programming techniques such as map, reduce, filter, and partials
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Create advanced decorators, including parametrized decorators, class decorators, and decorator classes
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Advanced decorator applications such as memoization and single dispatch generic functions
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Use and understand Python’s complex Module and Package system
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Idiomatic Python and best practices
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Understand Python’s compile-time and run-time and how this affects your code
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Avoid common pitfalls
Requirements
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Basic introductory knowledge of Python programming (variables, conditional statements, loops, functions, lists, tuples, dictionaries, classes).
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You will need Python 3.6 or above, and a development environment of your choice (command line, PyCharm, Jupyter, etc.)
Who this course is for:
- Anyone with a basic understanding of Python that wants to take it to the next level and get a really deep understanding of the Python language and its data structures.
- Anyone preparing for an in-depth Python technical interview.
