Complete Guide to Python Multithreading and Multiprocessing
Parallel Programming in Python: Mastering Threading & Processing for Efficient Concurrency
4.19 (29 reviews)
269
students
3 hours
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Apr 2024
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$64.99
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What you will learn
Fundamentals of Python Programming: Refresh your knowledge on Python basics including functions, classes, modules, and decorators.
Concurrency vs. Parallelism: Understand the difference and when to use each in your applications.
Introduction to Threading in Python: Learn how to create, manage, and synchronize threads using the threading module.
Deep Dive into the Global Interpreter Lock (GIL): Discover how the GIL affects multithreading in Python and strategies to work around it.
Basics of Multiprocessing: Utilize the multiprocessing module to run code across multiple CPU cores for true parallelism.
Process Communication: Master techniques for sharing data and messages between processes to build efficient parallel applications.
Advanced Threading and Multiprocessing Techniques: Explore thread pools, process pools, locks, semaphores, and condition variables to handle complex concurrency
Debugging and Optimizing: Learn how to debug and optimize threaded and multiprocessed applications for maximum performance.
Best Practices: Gain insights into best practices for writing clean, efficient, and scalable concurrent code.
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udemy ID
2/29/2024
course created date
4/28/2024
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