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Python 3: Deep Dive (Part 1 - Functional) free ebook download

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Catalogue

Author(s):	Dr. Fred Baptiste

Date:	2022	Format:	MP4	Language:	English	ISBN/ASIN:	0000000000
Pages:	0	OCR:		Quality:		ISBN13:
Uploader:	rubybook	Upload Date:	2/26/2024 6:13:01 AM

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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

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've been studying or programming in Python for a bit, and are now starting to ask yourself questions such as:
I wonder how this works?
is there another, more pythonic, 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? How do I write my own?
why do some boolean expressions not return a boolean value? How can I use that to my advantage?
how does the import mechanism in Python work, and why am I getting side effects?
and similar types of question...
then this course is for you.

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/theory videos, but lean in for the code videos!
Please make sure you review the pre-requisites for this course (below)  - 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.

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