Python Bytecode Compilation
Explore CPython bytecode compilation from source to .pyc files. Learn the dis module, PVM stack operations, and Python 3.11+ adaptive specialization.
Explore machine learning concepts related to python. Clear explanations and practical insights.
Explore CPython bytecode compilation from source to .pyc files. Learn the dis module, PVM stack operations, and Python 3.11+ adaptive specialization.
A practical mental model for CPython memory management: names and references, object headers, PyMalloc arenas, reference counting, reuse paths, and memory profiling.
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.
Learn how CPython implements PyObject, type objects, and the unified object model. Explore reference counting, memory layout, and Python internals.
Understand CPython garbage collection: reference counting, generational GC for circular references, weak references, and gc module tuning strategies.
Learn a profiler-first Python optimization workflow: measure bottlenecks, choose the right lever, and verify performance changes.
Learn when Python __slots__ reduces memory, how slot storage differs from __dict__, and the caveats for dataclasses and inheritance.
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.