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Concurrent Programming in Python

Video Introducing this tutorial

The Course Overview
Advanced OSes and Programming Environments
Concurrency Versus Parallelism with Examples
Operating System’s Building Blocks of Parallel Execution
Libraries in Python Used to Achieve Concurrency and Parallelism
Python’s Global Interpreter Lock (GIL)
Overview of Threading Module
Creating Threads
Managing Threads
Synchronization in Python
Using Synchronization Primitives
Producer–Consumer Pattern
Using Python Queue Module
Multithreading in GUI Programming
Limitations Imposed by GIL
Similarities Between Thread and Process Management
Difference Between Thread and Process Management
Libraries for Practice
Process Synchronization
Inter-Process Communication
Best Practices and Anti-Patterns
Pool of Workers for Maximizing Usage of the Hardware
When and How to Use a Pool of Workers
Best Practices and Anti-Patterns

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