and
the
A
a
of
you
You
this
This
to
• What you'll learn An in-depth look at variables, memory, namespaces and scopes A deep dive into Python's memory management and optimizations In-depth understanding and advanced usage of Python's numerical data types (Booleans, Integers, Floats, Decimals, Fractions, Complex Numbers) Advanced Boolean expressions and operators Advanced usage of callables including functions, lambdas and closures Functional programming techniques such as map, reduce, filter, and partials Create advanced decorators, including parametrized decorators, class decorators, and decorator classes Advanced decorator applications such as memoization and single dispatch generic functions Use and understand Python's complex Module and Package system Idiomatic Python and best practices Understand Python's compile-time and run-time and how this affects your code Avoid common pitfalls Course content Expand all 158 lectures44:38:14 +Introduction +A Quick Refresher - Basics Review +Variables and Memory +Numeric Types +Function Parameters +First-Class Functions +Scopes, Closures and Decorators +Tuples as Data Structures and Named Tuples +Modules, Packages and Namespaces +Extras Requirements Basic introductory knowledge of Python programming (variables, conditional statements, loops, functions, lists, tuples, dictionaries, classes).
• You will need Python 3.6 or above, and a development environment of your choice (command line, PyCharm, Jupyter, etc.) Description Hello!
• This is Part 1 of a series of courses intended to dive into the inner mechanics and more complicated aspects of Python 3.
• This is not a beginner course - if you've been coding Python for a week or a couple of months, you probably should keep writing Python for a bit more before tackling this series.
• On the other hand, if you're now starting to ask yourself questions like: I wonder how this works?