Deep dive into machine learning, computer vision, and software engineering. Expert insights on AI, local LLMs, quantization, and practical implementation details from real-world projects.
You don't need a logging framework, registry, or factory. Python's stdlib logging is a global singleton — getLogger(name) always returns the same instance, and dictConfig can configure any logger in the process, including third-party libraries.
Deep dive into CPython internals: bytecode compilation, memory management, the GIL, object model, and garbage collection.
How C++ compilers transform source code through preprocessing, parsing, optimization, and code generation. Interactive visualizations included.
Master the linking process in C++ including symbol resolution, static vs dynamic linking, relocations, GOT/PLT, and solving common linking errors.
Explore how C++ programs load into memory: dynamic linking at runtime, memory layout, and the complete startup sequence.
Master dynamic model loading in PyTorch using the Registry Pattern. Learn decorators and configuration-driven architecture from OpenMMLab.