Mastering Advanced Python: Part 2 - In Depth GIL and Implementation of Threads/Processes.

Welcome to Part 2 of our comprehensive series on implementing Redis from scratch using Python!

In Part 1, we explored the fundamentals of threads, processes, and concurrency. In this installment, we'll dive deeper into Python's threading and multiprocessing modules, examining how to effectively implement threads and processes in your Redis project. We'll also discuss the Global Interpreter Lock (GIL) and its impact on concurrency in Python, along with an overview of reference counting and memory management.

What You'll Learn:

Implementing threads using Python's threading module
Leveraging the multiprocessing module for process-based parallelism
Understanding the Global Interpreter Lock (GIL) and its effects on concurrent execution
Exploring reference counting and its role in Python's memory management
Stay tuned for Part 3, where we'll tackle memory management in Python and transition to asynchronous programming with asyncio and async/await!

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[IshwarJangid]

Own Redis from Scratch with Python – Part 2: Threads, Processes & Global Interpreter Lock

[anjulaec]

Perfect explanation, following this series. Great work 👍