[ FreeCourseWeb ] RealPython - Real Python - Speed Up Python With Concurrency

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[ FreeCourseWeb ] RealPython - Real Python - Speed Up Python With Concurrency (Size: 253 MB)
  01_CC_overview.mp4.mp4 9 MB
  02_CC_latency.mp4 23.3 MB
  03_CC_concurrency.mp4 43.7 MB
  04_CC_threads.mp4 44.1 MB
  05_CC_race.mp4 23.8 MB
  06_CC_asyncio.mp4 35.5 MB
  07_CC_mp.mp4 25.8 MB
  08_CC_cpu.mp4 28.2 MB
  09_CC_sum.mp4 17.7 MB
  Bonus Resources.txt 307.2 B
  Get Bonus Downloads Here.url 204.8 B
  _code 204.8 B
  _cpu_bound 204.8 B
  _eloop.py 204.8 B
  _io_bound 204.8 B
  _multi.py 204.8 B
  _race.py 204.8 B
  _synchronous.py 204.8 B
  _threaded.py 204.8 B
  concurrency_slides.pdf 1.6 MB
  eloop.py 921.6 B
  multi.py 819.2 B
  race.py 409.6 B
  synchronous.py 716.8 B
  threaded.py 921.6 B
  ▲ 31 total files

Description


Real Python - Speed Up Python With Concurrency

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 9 Lessons (1h 12m) | Size: 183.8 MB
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:

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
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.

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