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.
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Python Internals
Deep dive into CPython internals, from bytecode compilation to memory management and the GIL.
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Concepts
All Python Internals Concepts
Python Memory Management
Deep dive into CPython memory management: PyMalloc arenas, object pools, reference counting, and optimization techniques like __slots__ and generators.
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Global Interpreter Lock (GIL)
Understand CPython Global Interpreter Lock (GIL): thread switching, CPU vs I/O workloads, multiprocessing workarounds, and PEP 703 no-GIL future.
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Python Object Model
Learn how CPython implements PyObject, type objects, and the unified object model. Explore reference counting, memory layout, and Python internals.
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Python Garbage Collection
Understand CPython garbage collection: reference counting, generational GC for circular references, weak references, and gc module tuning strategies.
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Python Optimization Techniques
Python performance optimization guide: CPython peephole optimizer, lru_cache, profiling with cProfile, and Python 3.11+ adaptive bytecode specialization.
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__slots__ Optimization
Master Python __slots__ for 40-50% memory reduction and faster attribute access. Learn CPython descriptor protocol, inheritance patterns, and best practices.
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Green Threads vs OS Threads: Understanding Concurrency Models
Compare Python green threads vs OS threads. Learn asyncio coroutines, gevent, context switching costs, and when to use each concurrency model.
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Python asyncio: Mastering Asynchronous Programming
Deep dive into Python's asyncio library, understanding event loops, coroutines, tasks, and async/await patterns with interactive visualizations.
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Python Shared Memory
Master Python multiprocessing.shared_memory for zero-copy IPC. Learn synchronization, NumPy integration, and race condition prevention patterns.
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