Generators#

Generators are a special kind of iterator that produce values lazily — one at a time, on demand — instead of computing and storing everything in memory at once. They are defined using the yield keyword and are essential for working with large datasets or infinite sequences.

Context Managers#

Context managers handle resource setup and cleanup automatically using the with statement. They guarantee that cleanup code runs even when exceptions occur, making them essential for working with files, database connections, locks, and other resources that must be properly released.

Type Hints#

Type hints (Python 3.5+) let you annotate function parameters, return types, and variables with expected types. While Python doesn't enforce these at runtime, they enable static type checkers like mypy to catch bugs before your code runs, and they improve IDE autocompletion and code documentation.

JSON#

JSON (JavaScript Object Notation) is the most common format for exchanging data between applications. Python's built-in json module makes it easy to parse JSON strings into Python objects and serialize Python objects back to JSON.

Async/Await#

Asynchronous programming lets your program handle multiple I/O operations concurrently without threads. Python's async/await syntax makes it easy to write non-blocking code for network requests, file operations, and other I/O-bound tasks.

Itertools#

The itertools module provides a collection of fast, memory-efficient tools for working with iterators. It includes functions for creating infinite sequences, combining iterables, and generating permutations and combinations — essential tools for writing elegant, performant Python code.

functools#

The functools module provides higher-order functions that act on or return other functions. Key tools include lru_cache for memoization, partial for creating specialized function variants, and reduce for folding sequences into single values.