A list of useful Python modules:
- traceback: Extracts, formats, and prints Python program stack traces.
- contextvars: Stores and manages context-specific variables, useful in multithreading.
- linecache: Accesses any line from any file, useful in reading specific lines from a file.
- zipapp: Creates executable Python Zip Applications.
- enum: Defines enumerations, unique sets of symbolic names.
- pathlib: Handles filesystem paths through object-oriented interface.
- functools: Manipulates functions and callable objects without rewriting them.
- itertools: Enables efficient looping via functions that return iterators.
- logging: Creates a flexible framework for emitting log messages.
- collections: Offers high-performance container datatypes.
- typing: Gives runtime support for type hints.
- doctest: Tests code snippets in docstrings.
- io: Deals with various types of input/output operations.
- uuid: Generates unique identifiers for objects and data.
- http: Provides the HTTPStatus enum for responses.
- pprint: Pretty-prints Python data structures.
- fnmatch: Supports Unix shell-style wildcards.
- pickle: Serializes and deserializes Python objects.
- tempfile: Creates temporary files and directories.
- shutil: Performs high-level operations on files and collections of files.
- argparse: Parses command line arguments.
- timeit: Measures the execution time of small Python code snippets.
- inspect: Retrieves information on live objects such as modules, classes, and methods.
More modules