Python modules example
Python modules example
Here's an extensive list of Python modules and their uses:
os: The os module provides a way to interact with the operating system on which your script is running. This includes creating new directories, removing files, and getting information about the current directory.Example: import os; os.mkdir("new_directory")
sys.argv to get a list of command-line arguments passed to your script.
Example: import sys; print(sys.argv)
Example: import math; print(math.sqrt(16))
Example: import random; print(random.randint(1, 100))
Example: import time; print(time.asctime())
Example: import re; print(re.search("hello", "hello world").group(0))
Example: import csv; with open('test.csv', 'r') as f: reader = csv.reader(f); for row in reader: print(row)
Example: import json; data = {"name": "John", "age": 30}; print(json.dumps(data))
Example: import sqlite3; conn = sqlite3.connect('test.db'); c = conn.cursor(); c.execute("CREATE TABLE test (name TEXT)"); conn.commit();
Example: import requests; response = requests.get('https://api.example.com'); print(response.text)
Example: import urllib.request; url = 'http://example.com'; response = urllib.request.urlopen(url); print(response.read())
Example: from datetime import datetime; dt = datetime.now(); print(dt.strftime('%Y-%m-%d %H:%M:%S'))
Example: import itertools; iterable = [1, 2, 3]; iterator = iter(iterable); print(next(iterator))
Example: from functools import partial; def add(x, y): return x + y; add_10 = partial(add, 10); print(add_10(5))
Example: import heapq; data = [1, 3, 9, 2]; heap = list(heapq.nsmallest(2, data)); print(heap)
Example: from collections import OrderedDict; data = [1, 3, 9, 2]; ordered_dict = OrderedDict(sorted(data)); print(ordered_dict)
Example: from statistics import mean; data = [1, 3, 9, 2]; mean_value = mean(data); print(mean_value)
Example: import textwrap; text = "This is a very long line that needs to be wrapped"; wrapped_text = textwrap.fill(text); print(wrapped_text)
Example: import difflib; seq1 = ["apple", "banana"]; seq2 = ["apple", "cherry"]; diff = difflib.Differ(); print(diff.compare(seq1, seq2))
Example: import nis; conn = nis.NIClient(); map_name = "my_map"; print(conn.getmap(map_name))
These are just a few examples of the many modules available in the Python standard library. Each module provides its own set of functions, classes, and constants that can be used to perform specific tasks.
Python built-in modules
I'm happy to help you with that! Here's a comprehensive list of Python built-in modules:
1. ascii: A module that provides functions for converting between ASCII characters and their Unicode code points.
2. atexit: A module that allows you to register functions to be called when your program terminates.
3. base64: A module that provides functions for encoding and decoding data using the Base64 scheme.
4. binascii: A module that provides functions for converting between binary data and strings, as well as converting between different character sets.
5. cmath: A module that provides mathematical functions, including trigonometric, exponential, and logarithmic functions.
6. collections: A module that provides specialized dictionary classes such as defaultdict, OrderedDict, and Counter.
7. contextlib: A module that provides utilities for managing context managers in Python.
8. coprime: A module that computes the greatest common divisor (GCD) of two integers using the Euclidean algorithm.
9. datetime: A module that provides functions for working with dates and times.
10. decimal: A module that provides support for fast correctly rounded decimal floating point arithmetic.
11. difflib: A module that makes it possible to compare pairs of sequences using a variety of algorithms.
12. distutils: A module that provides utilities for building and installing Python packages.
13. doctest: A module that tests functions by running them with different inputs.
14. email: A module that provides classes for working with email messages and parsing email headers.
15. faulthandler: A module that provides a way to get stack traces from crashed threads in Python applications.
16. functools: A module that provides utilities for functional programming, including higher-order functions and decorators.
17. gzip: A module that provides functions for reading and writing Gzip-compressed data streams.
18. heapq: A module that provides an implementation of the heap queue algorithm, also known as the priority queue algorithm.
19. hmac: A module that provides support for generating hash-based message authentication codes (HMACs).
20. inspect: A module that provides functions for inspecting live objects and getting information about them.
21. itertools: A module that provides utilities for working with iterators, including infinite sequences and permutations.
22. json: A module that provides a JSON encoder and decoder for serializing Python objects into JSON data.
23. keyword: A module that defines the standard set of identifiers used in Python, such as "and", "class", etc.
24. lib2to3: A module that provides utilities for converting between different formats, including 2-to-3-line conversions.
25. logging: A module that provides logging functionality in Python, allowing you to log events and errors in your code.
26. math: A module that provides mathematical functions, such as trigonometric, exponential, and logarithmic functions.
27. mimetypes: A module that maps file extensions to MIME types and vice versa.
28. moidle: A module that provides utilities for working with MIDI files and messages.
29. multiprocessing: A module that provides support for spawning multiple processes in a Python program.
30. numbers: A module that provides support for working with numbers, including complex numbers and rational numbers.
31. operator: A module that provides utility functions for operators such as +=, -=, etc.
32. optparse: A module that provides an implementation of the GNU-style command line option parsing syntax.
33. os: A module that provides a way to use operating system-dependent functionality in Python programs.
34. pickle: A module that provides a way to serialize and deserialize Python objects into byte streams.
35. pipes: A module that provides utilities for working with pipes and file descriptors in Python programs.
36. pprint: A module that provides utilities for pretty-printing of Python data structures, including lists, dictionaries, etc.
37. profile: A module that provides utilities for profiling Python code, including timing functions and measuring memory usage.
38. pty: A module that provides utilities for working with pseudo-terminals (ptys) in Python programs.
39. quanteek: A module that provides utilities for working with quantization error correction in audio processing.
40. random: A module that provides functions for generating random numbers and sequences of random events.
41. re: A module that provides regular expression matching operations similar to those found in Perl.
42. reprlib: A module that provides utilities for pretty-printing of Python objects, including formatting and indentation control.
43. runpy: A module that provides utilities for running Python modules as scripts or applications.
44. select: A module that provides utilities for working with file descriptors in Python programs, including selecting readable files.
45. shutil: A module that provides utilities for working with shell commands and file system operations.
46. site: A module that provides utilities for managing the site-specific configuration files for Python applications.
47. socket: A module that provides utilities for working with network sockets in Python programs, including accepting connections and sending data.
48. sqlite3: A module that provides a SQL database interface compliant with the SQLite relational database library.
49. statistics: A module that provides statistical functions, including mean, median, mode, variance, standard deviation, etc.
50. string: A module that provides utilities for working with strings in Python programs, including formatting and concatenation operations.
51. struct: A module that provides utilities for converting between strings and C structs, as well as structuring data types into binary data.
52. threading: A module that provides utilities for working with threads in Python programs, including creating new threads and synchronizing thread execution.
53. time: A module that provides utilities for working with dates and times in Python programs, including formatting date and time strings.
54. tokenize: A module that provides utilities for tokenizing text into individual words or phrases, as well as reversing this operation (de-tokenization).
55. traceback: A module that provides utilities for creating and working with stack traces in Python programs, including formatting error messages and tracing the execution of a program.
56. unittest: A module that provides utilities for writing unit tests in Python, including assertions, fixtures, and test discovery.
57. urllib: A module that provides utilities for working with URLs and downloading data from the web.
58. vmsizeof: A module that provides utilities for estimating memory usage of objects in Python.
59. wsgiref: A module that provides utilities for building and debugging WSGI applications.
60. xml.etree.ElementTree: A module that provides an implementation of the XML Element Tree API, allowing you to parse and generate XML documents.
61. zipapp: A module that provides utilities for working with ZIP archives in Python programs, including creating new archives and extracting data from existing archives.
I hope this helps! Let me know if you have any further questions or need more information.
