Learn how the GIL manages thread execution in CPython and explore the impact of PEP 703's free-threading build on future parallel performance.

Navigating the Python Global Interpreter Lock (GIL)

Discover how to use the threading module to overlap wait times in network requests and file operations effectively within a single process memory space.

Optimizing I/O-Bound Tasks with Multithreading

Master the multiprocessing module to bypass the GIL and distribute heavy computational workloads across multiple CPU cores using separate interpreters.

Achieving True Parallelism with Multiprocessing

Compare performance, memory overhead, and complexity across threads, processes, and asyncio to select the optimal architecture for your specific application.

A Framework for Choosing the Right Concurrency Model

Learn to use locks, semaphores, and thread-safe queues to prevent race conditions when multiple workers access shared data in concurrent environments.

Implementing Thread Safety and Shared State Management

Master the trade-offs between threads and processes while navigating the Global Interpreter Lock (GIL) and its experimental removal in modern Python versions.

Python Concurrency

Navigating the Python Global Interpreter Lock (GIL)

Optimizing I/O-Bound Tasks with Multithreading

Achieving True Parallelism with Multiprocessing

A Framework for Choosing the Right Concurrency Model

Implementing Thread Safety and Shared State Management