Concurrent and Parallel Programming in Python (09/2021)

Posted By: ParRus

Concurrent and Parallel Programming in Python
WEBRip | English | MP4 | 1280 x 720 | AVC ~3000 Kbps | 30 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | Subs: English (.srt) | ~6 hours | 2.22 GB
Genre: eLearning Video / Development, Programming Languages, Python

Speed up your programs with concurrency
What you'll learn
How to use concurrency and parallelism in Python
How to write multi-threaded programs
How to write multi-process programs
How to write asynchronous programs

Description
In this course you'll learn how to create multi-threaded, asynchronous, and multi-process programs in Python, so that you can make your programs run even faster.



In applications communicating with other resources, a lot of time is spent just waiting for information to be passed from one place to another. You'll learn how to use multi-threading as well as asynchronous programming to speed up programs that are heavily bottlenecked by IO operations.



We'll go through an introduction first of where potential speed bottlenecks come from as well as how we could solve these issues, and then we'll dive directly into the technical content and build out a multi-threaded program together that grabs data from the internet, parses, and saves it into a local database.



Other programs may be more heavily affected by CPU limitations. We'll also learn how to implement multiprocessing in Python, the library that lets us use multiple CPUs in our Python code. With this we'll be able to spread our workload over all the cores available on the machine we're using.



Finally, we'll also look to combine both elements, taking a look at how we can use multiprocessing together with asynchronous programming to get the most benefit for yourself, maximizing your use of CPU resources and minimizing time spent siting idle waiting for IO response.

You can find the lecture code in the GitHub repository linked in the first lesson.

Who this course is for:
Python developers that want to make their programs faster by adding concurrency


also You can find my other useful: Development-posts

General
Complete name : 3. Multiprocessing Pool.mp4
Format : MPEG-4
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File size : 58.4 MiB
Duration : 10 min 40 s
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Video
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Duration : 10 min 39 s
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Height : 720 pixels
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Frame rate mode : Constant
Frame rate : 30.000 FPS
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Duration : 10 min 40 s
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Alternate group : 1

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