Python concurrent programming practice-Free online video tutorial-php.cn

Concurrent programming is a technology used to improve the running speed of programs, using multi-threading, multi-process, asynchronous IO and other means; this course challenges the concurrent programming technology of Python; transforming web crawlers to crawl concurrently, and transforming web services to run business logic concurrently.

Difficulty：Elementary

Total of12 chapters

3275 plays

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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You will learn:: Concurrent programming is a technology used to improve the running speed of programs, using multi-threading, multi-process, asynchronous IO and other means; this course challenges the concurrent programming technology of Python; transforming web crawlers to crawl concurrently, and transforming web services to run business logic concurrently.