Explore machine learning concepts related to concurrency. Clear explanations and practical insights.
Learn the CPython Global Interpreter Lock (GIL) from first principles: why it exists, how threads take turns, why I/O still works well, and when to use multiprocessing, asyncio, or native extensions.
Complete guide to Python concurrency — OS threads, green threads (asyncio), the GIL, event loop internals, Python 3.13 free-threading, and production patterns.
Deep dive into Python's asyncio library, understanding event loops, coroutines, tasks, and async/await patterns with interactive visualizations.
Master Python multiprocessing.shared_memory for zero-copy IPC. Learn synchronization, NumPy integration, and race condition prevention patterns.
Complete C++ thread safety guide — race conditions with step-through simulation, mutexes, atomics, condition variables, deadlock detection, memory ordering, and Thread Sanitizer walkthrough.