Explore machine learning concepts related to runtime. Clear explanations and practical insights.
Deep dive into C++ memory allocation — stack frame internals, heap allocator mechanics, fragmentation, performance benchmarks, custom allocators, RAII, and debugging with AddressSanitizer and Valgrind.
How C++ programs are loaded — ELF segments, the _start to main() chain, dynamic linking with PLT/GOT, ASLR, real readelf/strace/proc maps output, and startup debugging.
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.
Deep dive into Python's asyncio library, understanding event loops, coroutines, tasks, and async/await patterns with interactive visualizations.
Deep dive into dynamic linking — GOT/PLT lazy resolution, shared library creation, SONAME versioning, RPATH/RUNPATH, dlopen plugin systems, LD_PRELOAD, and debugging with LD_DEBUG.