Overview of Common Python Standard Library Modules

1. os module

Provides interaction with the operating system, including file and directory operations and environment variable access.

Common functions: os.getcwd() , os.listdir() , os.path.join() , os.mkdir() , os.remove() , os.rmdir() , os.system() .

2. sys module

Allows access to interpreter parameters and functions.

Common functions: sys.argv , sys.version , sys.exit() , sys.path .

3. re module

Supports regular expression operations such as pattern matching, searching, and substitution.

Common functions: re.search() , re.findall() , re.sub() , re.compile() .

4. json module

Handles JSON encoding and decoding.

Common functions: json.dumps() , json.loads() , json.dump() , json.load() .

5. csv module

Facilitates reading and writing CSV files.

Common functions: csv.reader() , csv.writer() , csv.DictReader() , csv.DictWriter() .

6. math module

Provides mathematical functions and constants.

Common functions: math.pi , math.pow() , math.sqrt() , math.fabs() , math.sin() , math.cos() , math.tan() .

7. random module

Generates random numbers and performs random selections.

Common functions: random.randint() , random.random() , random.choice() , random.shuffle() .

8. collections module

Offers specialized container data types such as deque, Counter, and namedtuple.

Common functions: collections.deque() , collections.Counter() , collections.namedtuple() , collections.defaultdict() .

9. itertools module

Supplies iterator-building functions for infinite sequences, combinations, permutations, and more.

Common functions: itertools.count() , itertools.cycle() , itertools.repeat() , itertools.combinations() , itertools.permutations() , itertools.chain() , itertools.filterfalse() , itertools.dropwhile() .

10. requests module

A popular third‑party library for sending HTTP requests.

Common functions: requests.get() , requests.post() , response.text , response.json() , response.status_code .

11. logging module

Enables logging of messages with various severity levels and output configurations.

Common functions: logging.basicConfig() , logging.info() , logging.warning() , logging.error() , logging.critical() , logging.getLogger() .

12. threading module

Supports creation and management of threads for concurrent execution.

Common functions: threading.Thread() , thread.start() , thread.join() , threading.current_thread() .

13. multiprocessing module

Facilitates process‑based parallelism.

Common functions: multiprocessing.Process() , process.start() , process.join() , multiprocessing.Pool() .

14. urllib module

Handles URL operations, including requests and parsing.

Common functions: urllib.request.urlopen() , urllib.parse.urlparse() , urllib.parse.urlunparse() , urllib.parse.urlencode() .

15. argparse module

Parses command‑line arguments for building complex CLI interfaces.

Common functions: argparse.ArgumentParser() , parser.add_argument() , parser.parse_args() .

16. shutil module

Provides high‑level file operations such as copying, moving, and deleting.

Common functions: shutil.copy() , shutil.copytree() , shutil.move() , shutil.rmtree() .

17. socket module

Enables network programming with sockets.

Common functions: socket.socket() , sock.bind() , sock.listen() , sock.accept() , sock.send() , sock.recv() .

18. gzip module

Works with gzip‑compressed files.

Common functions: gzip.open() , gzip.compress() , gzip.decompress() .

19. zipfile module

Manages ZIP archive files.

Common functions: zipfile.ZipFile() , zipfile.write() , zipfile.read() , zipfile.extractall() .

20. pickle module

Serializes and deserializes Python objects.

Common functions: pickle.dump() , pickle.load() , pickle.dumps() , pickle.loads() .

Summary

These modules cover a wide range of functionalities—from file manipulation and network requests to data processing and logging—allowing developers to write more efficient and maintainable Python code.