Speed Up Python With Concurrency

Focused View

Christopher Trudeau

1:12:36

358 View

01 CC overview.mp4

03:02

02 CC latency.mp4

07:39

03 CC concurrency.mp4

13:39

04 CC threads.mp4

11:08

05 CC race.mp4

07:01

06 CC asyncio.mp4

09:50

07 CC mp.mp4

06:44

08 CC cpu.mp4

07:47

09 CC sum.mp4

05:46

concurrency code.zip

concurrency slides.pdf

Description

Concurrency is the act of having your computer do multiple things at the same time. If you’ve heard lots of talk about asyncio being added to Python but are curious how it compares to other concurrency methods or are wondering what concurrency is and how it might speed up your program, you’ve come to the right place.

In this course, you’ll learn the following:

Sample code was tested using Python 3.8.5. Much of the asyncio library has been in flux since Python 3.4, it is recommended to use at least Python 3.7 for the asyncio portions of the course.

What You'll Learn?

How I/O bound programs are effected by latency
Which concurrent programming patterns to use
What the differences are between the Python concurrency libraries
How to write code that uses the threading, asyncio, and multiprocessing libraries

More details

User Reviews

Rating

average 0

Total votes0

Focused display

Python

Christopher Trudeau

Instructor's Courses

Christopher has a passion for the Python language and writes for Real Python. He is a consultant who helps advise organizations on how to improve their technical teams. Christopher is a strong advocate for automation throughout the delivery process and the power of small teams with well defined goals.

You can find Christopher here: