The Complete Python Course 3

Course Prerequisite(s)

Please note that this course has the following prerequisites which must be completed before it can be accessed
The Complete Python Course 1
The Complete Python Course 2

About Course

Are you ready to unlock the secrets of one of the most popular programming languages in the world? Look no further! The Complete Python Course is designed to take you from beginner to advanced Python programmer in no time.

With this comprehensive course, you’ll learn the fundamentals of Python, including data types, functions, and object-oriented programming. You’ll also dive into advanced topics

Why Python?

High-demand skill in the job market
Versatile language for web development, data analysis, and more
Easy to learn and fun to use

Join the Python Revolution!

Enroll in our Complete Python Course today and unlock a world of possibilities in programming!

Note: This is the third and the last unit in The Complete Python Course. The first two units are prerequisites.

Disclaimer

This course is under the Public Resource Learning (PRL) programs on Future Syllabus. Learn more.

Course Content

Asycrhoronous Python Development

The Dining Philosophers Problem
07:37
The Python GIL
10:30
Example threads in Python
12:40
Using Python concurrent.futures the ThreadPoolExecutor
03:07
Multiprocessing in Python
07:24
Using Python concurrent.futures the ProcessPoolExecutor
02:15
Dealing with shared state in threads
08:35
Queuing in threads with shared state
12:25
Using Python generators instead of threads
04:50
Our first single-threaded task scheduler in Python
06:04
Yielding from another iterator in Python
05:36
Receiving data through yield
09:34
The async and await keywords
06:10
Watch these talks for more explanations and examples
01:52
Our asynchronous scraper
04:42
Making our first async request in Python
14:49
Getting multiple pages efficiently
10:23
Using async_timeout for security
01:46
Turning our book scraping project async
10:16
A note on HTTPS with Python and Mac OS X
03:12
Conclusion of this section
00:42

Python on the console and managing project dependencies

Decorators in Python

Advanced Object-Oriented Programming

Python Libraries

Certification

Student Ratings & Reviews

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Course Prerequisite(s)

About Course

What Will You Learn?

Course Content

Asycrhoronous Python Development

The Dining Philosophers Problem

The Python GIL

Example threads in Python

Using Python concurrent.futures the ThreadPoolExecutor

Multiprocessing in Python

Using Python concurrent.futures the ProcessPoolExecutor

Dealing with shared state in threads

Queuing in threads with shared state

Using Python generators instead of threads

Our first single-threaded task scheduler in Python

Yielding from another iterator in Python

Receiving data through yield

The async and await keywords

Watch these talks for more explanations and examples

Our asynchronous scraper

Making our first async request in Python

Getting multiple pages efficiently

Using async_timeout for security

Turning our book scraping project async

A note on HTTPS with Python and Mac OS X

Conclusion of this section

Python on the console and managing project dependencies

Introduction to this section

Running Python in the console

Terminal video running Python

Terminal video what is a virtualenv

Terminal video navigating the terminal and using virtualenv

Terminal video using Pipenv

Terminal video Pipenv and virtualenv

Conclusion of this section

Decorators in Python

Introduction to this section

A simple decorator in Python

Using a @syntax

Functools wraps in Python

Decorating functions with parameters

Functions that accept multiple arguments

Generic decorators for any function

Generic decorators for any function

Conclusion of this section

Advanced Object-Oriented Programming

Introduction to this section

Intro to ABCs in Python

The usefulness of ABCs

The relationship between ABCs and interfaces

The relationship between ABCs and interfaces

The property setter in Python

Conclusion of this section

Python Libraries

Introduction to this section

Python libraries overview

Creating a re-usable Mailgun library

Conclusion of this section

Certification

The Complete Python Course Certification

Student Ratings & Reviews

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