Comprehensive look into CPython internals, memory allocation, PyObject structures, cyclic garbage collection, and robust type systems.
Track milestones, code blueprints, difficulty ratings, and official documentation across every core module.
Master Python's enum module, bitwise Flags, the BaseException hierarchy, domain error modeling, PEP 3134 exception chaining, and Python 3.11+ ExceptionGroups.
Atul Jha • Master Python serialization with JSON, custom JSONEncoder subclasses, object_hook decoders, pickle security exploits, and high-performance Pydantic workflows.
Demystify Python's module caching in sys.modules, finder/loader architecture, namespace packages (PEP 420), circular import resolutions, and __main__.py.
Uncover Python's descriptor protocol, data vs non-data descriptors, dynamic classes with type(), metaclass lifecycles, and __init_subclass__.
Master Python's object-oriented internals, attribute lookup mechanics, bound methods, dunder operator overloading, C3 Linearization (MRO), and __slots__.
Explore CPython hash table internals, compact dictionary architecture, hash randomization, collision resolution, and specialized mapping types.
Guide into Python's context management protocol, __enter__ and __exit__ mechanics, exception suppression, the contextlib module, and ExitStack.
Master Python's iteration protocols, the mechanics of yield, memory-efficient generator pipelines, itertools superpowers, and coroutines.
Explore tuples as lightweight data records, immutability guarantees, collections.namedtuple, typing.NamedTuple, memory footprint, and dataclass comparisons.
Demystify Python's LEGB scope resolution, free variable cell objects, closures, decorator factories, and metadata preservation with functools.wraps.
Explore callables, function introspection, lambda expressions, higher-order functions, functools.partial, and the operator module in Python.
Master positional and keyword arguments, tuple and dictionary unpacking, keyword-only parameters, and the infamous mutable default argument trap in CPython.
Deep dive into CPython memory model, pointer references, stack vs heap, id(), hex memory addresses, object mutability, and garbage collection mechanisms.
The fundamentals of Python programming for machine learning and AI. Learn the basic of type hierarchy in python.
