Download Udemy Python 3: Deep Dive (Part 1 – Functional)

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

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?
  • is there another way of doing this?
  • what’s a closure? is that the same as a lambda?
  • I know how to use a decorator someone else wrote, but how does it work? Can I write my own?
  • why isn’t this boolean expression returning a boolean value?
  • what does an import actually do, and why am I getting side effects?
  • and similar types of question…

then this course is for you.

Please make sure you review the pre-requisites for this course – although I give a brief refresh of basic concepts at the beginning of the course, those are concepts you should already be very comfortable with as you being this course.

In this course series, I will give you a much more fundamental and deeper understanding of the Python language and the standard library.

Python is called a “batteries-included” language for good reason – there is a ton of functionality in base Python that remains to be explored and studied.

So this course is not about explaining my favorite 3rd party libraries – it’s about Python, as a language, and the standard library.

In particular this course is based on the canonical CPython. You will also need Jupyter Notebooks to view the downloadable fully-annotated Python notebooks.

It’s about helping you explore Python and answer questions you are asking yourself as you develop more and more with the language.

In Python 3: Deep Dive (Part 1) we will take a much closer look at:

  • Variables – in particular that they are just symbols pointing to objects in memory
  • Namespaces and scope
  • Python’s numeric types
  • Python boolean type – there’s more to a simple or statement than you might think!
  • Run-time vs compile-time and how that affects function defaults, decorators, importing modules, etc
  • Functions in general (including lambdas)
  • Functional programming techniques (such as map, reduce, filter, zip, etc)
  • Closures
  • Decorators
  • Imports, modules and packages
  • Tuples as data structures
  • Named tuples

To get the most out of this course, you should be prepared to pause the coding videos, and attempt to write code before I do! Sit back during the concept videos, but lean in for the code videos!

And after you have seen a code video, pause the course, and try things out yourself – explore, experiment, play with code, and see how things work (or don’t work! – that’s also a great way to learn!) 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.

More Info: Source

Course Creator: Fred Baptiste

Course Size: 10.3 GB

Course Length: 44.5 hours

Free Download

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