Python
Modern Python Advanced #4: Async in depth — event loop, gather/wait, async generator
The next step from intermediate intro — how the event loop actually works, the difference between Future and Task, gather vs wait, async generator, and async iteration.
Modern Python Advanced #3: Metaclasses — when do you really need them?
Classes that build classes — what type really is, division of labor with __init_subclass__, what class decorators can solve, and the narrow places where you really need a metaclass.
Modern Python Advanced #2: Descriptors and __set_name__
How property works — the __get__/__set__ protocol and data/non-data descriptors, and clean validation fields with __set_name__.
Modern Python Advanced #1: Magic methods in depth and protocols
Every hook where Python objects integrate with language features — __call__, __getitem__, __hash__, __format__, __getattr__ — gathered in one place.
Modern Python Intermediate #7: Async intro (asyncio)
Meaning of async/await, the event loop, asyncio.gather and TaskGroup, and mixing with sync code — a first step into asyncio in one place.
Modern Python Intermediate #6: Pattern matching in depth
The next step from basics match-case — class patterns and __match_args__, sequence/mapping patterns, captures and guards, plus anti-patterns.
Modern Python Intermediate #5: Decorator patterns
Every form of decorators that wrap functions — basic form, parameterized decorators, functools.wraps, class decorators, and ParamSpec.
Modern Python Intermediate #4: Iterables/generators/yield from
How for works — the iterable protocol, generator functions and expressions, delegation with yield from, and send/throw — all in one place.
Modern Python Intermediate #3: Context managers (with, contextlib)
How with collapses try/finally, building your own context manager with __enter__/__exit__, the concise @contextmanager form, and practical tools like ExitStack and suppress.
Modern Python Intermediate #2: typing in earnest — Generic, Protocol, TypedDict, Literal
The next step from basics type hints — Generic for parameterizing types, Protocol for precise duck typing, TypedDict for dict shapes, and Literal for narrow unions.
Modern Python Intermediate #1: dataclass and __slots__
Every option of @dataclass for short, safe data classes — frozen, kw_only, field() — and __slots__ for memory savings.
Modern Python Basics #7: Modules/packages and pyproject.toml
The import system, the difference between modules and packages, __init__.py and __main__, and pyproject.toml for dependencies, tool config, and distribution — all in one place.