Useful Python modules

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