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Python concurrent programming practice

Introduction >
ChapterCourseware
Chapter1Chapter One

Introduction to Python Concurrent Programming

05 minutes40 seconds

How to choose multi-threading, multi-process and multi-coroutine

09 minutes06 seconds

The main culprit behind Python’s slowness is the global interpreter lock GIL

08 minutes48 seconds

Using multi-threading, Python crawlers are sped up 10 times

11 minutes16 seconds

Python implements producer-consumer crawler

14 minutes24 seconds

Python thread safety issues and solutions

10 minutes01 seconds

Python's easy-to-use thread pool ThreadPoolExecutor

12 minutes33 seconds

Python uses thread pools to achieve acceleration in web services

08 minutes58 seconds

Use the multiprocessing module to speed up program execution

11 minutes10 seconds

Python uses multi-process pool to accelerate program running in Flask service

06 minutes23 seconds

Python asynchronous IO implements concurrent crawler

10 minutes42 seconds

Using semaphores to control crawler concurrency in asynchronous IO

04 minutes55 seconds
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