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Tagged with stdlib

3 cards

Python Medium Theory

collections and functools helpers: `defaultdict`, `Counter`, `deque`, `namedtuple`, `partial`, `reduce`, and `lru_cache`

These helpers reduce boilerplate for grouping, counting, queue behavior, lightweight record types, partial application, reduction, and memoization.

`Counter` counts fast
`deque` is strong for queues
`lru_cache` adds memoization with little code

#collections #python #stdlib

collections and functools helpers: `defaultdict`, `Counter`, `deque`, `namedtuple`, `partial`, `reduce`, and `lru_cache`

Python Medium Theory

JSON, Pickle, and CSV basics in Python

JSON is portable text, Pickle is Python-specific object serialization, and CSV is a simple tabular interchange format.

JSON is safer and interoperable
Pickle is not for untrusted data
CSV needs clear delimiter and schema assumptions

#python #serialization #stdlib

JSON, Pickle, and CSV basics in Python

Python Medium Theory

Standard library essentials: `os`, `sys`, `math`, `datetime`, `itertools`, `functools`, `re`, `subprocess`, `logging`, and `typing`

Python's standard library covers operating-system access, math, dates, iteration helpers, subprocesses, logging, regular expressions, and typing support.

Know the purpose of common modules
Reach for stdlib before extra dependencies
Interviews reward practical module selection

#python #stdlib #tools

Standard library essentials: `os`, `sys`, `math`, `datetime`, `itertools`, `functools`, `re`, `subprocess`, `logging`, and `typing`