----- TalkPython Video Training -----Duration: 5h | Video: h264, 1280x720 | Audio: AAC, 44kHz, 2 Ch | 1.8 GB$69 | Genre: eLearning | Language: EnglishPython's async and parallel programming support is highly underrated.

In this course, you will learn the entire spectrum of Python's parallel APIs.

We will start with covering the new and powerful async and await keywords along with the underpinning module: asyncio.

Then we'll move on to Python's threads for parallelizing older operations and multiprocessing for CPU bound operations.

We'll close out the course with a host of additional async topics such as async Flask, task coordination, thread safety, and C-based parallelism with Cython.

Source code and course GitHub repositorygithub.com/talkpython/async-techniques-python-courseWhat's this course about and how is it different?This is *the* definitive course on parallel programming in Python.

It covers the tried and true foundational concepts such as threads and multiprocessing as well as the most modern async features based on Python 3.

7+ with async and await.

In addition to the core concepts and APIs for concurrent programming, you will learn best practices and how to choose between the various APIs as well as how to use them together for the biggest advantage.

In this course, you will:See how concurrency allows improved performance and scalabilityBuild async-capable code with the new async and await keywordsAdd asynchrony to your app without additional threads or processesWork with multiple threads to run I/O bound work in PythonUse locks and thread safety mechanisms to protect shared dataRecognize a dead-lock and see how to prevent them in Python threadsTake full advantage of multicore CPUs with multiprocessingUnify the thread and process APIs with execution poolsAdd massive speedups with Cython and Python threadsCreate async view methods in Flask web appsAnd lots moreView the full course outlineWho is this course for?Anyone who would like to write Python code that does more, scales better, and takes better advantage of modern, multicore CPUs.

Whether you're a web developer or data scientists, you will find a host of techniques to do more faster.

The course is not a beginner Python course, so students with little to no Python language experience should take a foundational course first.

We recommend our Python Jumpstart by Building 10 Apps as a prerequisite if needed.

Concepts backed by concise visualsWhile exploring a topic interactively with demos and live code is very engaging, it can mean losing the forest for the trees.

That's why when we hit a new topic, we stop and discuss it with concise and clear visuals.

Here's an example of introducing the concept of temporarily invalid states in thread safety.