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100 Popular Libaries of Python
1. Requests: HTTP library for making requests and handling
responses.
2. NumPy: Numerical computing library for arrays, matrices,
and mathematical operations.
3. Pandas: Data manipulation and analysis library with
DataFrame objects.
4. Matplotlib: Plotting library for creating static,
animated, and interactive visualizations.
5. SciPy: Scientific computing library for mathematics,
science, and engineering.
6. Scikit-learn: Machine learning library with tools for
classification, regression, clustering, etc.
7. TensorFlow: Deep learning library for building and
training neural networks.
8. PyTorch: Deep learning library for tensor computations
and dynamic neural networks.
9. NLTK: Natural Language Toolkit for NLP tasks such as
tokenization, tagging, parsing, etc.
10. Beautiful Soup: Web scraping library for extracting data
from HTML and XML files.
11. SQLAlchemy: SQL toolkit and Object-Relational Mapping
(ORM) library for databases.
12. Django: Web framework for building web applications
using Python.
13. Flask: Lightweight web framework for building web
applications and APIs.
14. Celery: Distributed task queue for background job
processing.
15. pytest: Testing framework for writing simple and
scalable tests.
16. Pygame: Cross-platform set of Python modules designed
for writing video games.
17. OpenCV: Computer vision library for image and video
processing.
18. Pillow: Imaging library for opening, manipulating, and
saving many different image file formats.
19. Tweepy: Twitter API wrapper for accessing Twitter's
RESTful API.
20. Plotly: Interactive visualization library for creating
and sharing graphs.
21. Dash: Framework for building analytical web applications
using Python.
22. FastAPI: Fast (high-performance) web framework for
building APIs with Python 3.7+.
23. pyTelegramBotAPI: Python wrapper for the Telegram Bot
API.
24. Pygame Zero: Game development framework aimed at
beginner programmers.
25. PyQt: Python bindings for the Qt application framework.
26. PyGTK: Python bindings for the GTK+ graphical user
interface library.
27. Scrapy: Web crawling and web scraping framework.
28. FuzzyWuzzy: Fuzzy string matching library.
29. PyMongo: Python driver for MongoDB.
30. Boto3: SDK for AWS (Amazon Web Services).
31. Twisted: Asynchronous networking framework.
32. PyInstaller: Converts Python applications into
stand-alone executables.
33. PySerial: Python serial port access library.
34. Google API Python Client: Python client library for
Google's APIs.
35. NetworkX: Library for creating and analyzing complex
networks.
36. SymPy: Symbolic mathematics library.
37. pytz: World timezone definitions for Python.
38. pyyaml: YAML parser and emitter for Python.
39. pytest-cov: Coverage plugin for pytest.
40. Flask-RESTful: Extension for Flask that adds support for
quickly building REST APIs.
41. WTForms: Flexible forms validation and rendering library
for Flask web applications.
42. Pygame GUI: Simple GUI library for Pygame.
43. wxPython: Cross-platform GUI toolkit for the Python
language.
44. pyodbc: Python ODBC bridge for connecting to
ODBC-compliant databases.
45. PyMySQL: Pure Python MySQL client library.
46. Gensim: Topic modeling and document similarity library.
47. xlrd: Library for reading data and formatting
information from Excel files.
48. xlwt: Library for writing data and formatting
information to Excel files.
49. gspread: Google Sheets Python API.
50. pydantic: Data validation and settings management using
Python type annotations.
51. cookiecutter: Command-line utility to create projects
from cookiecutters (project templates).
52. pytest-django: Django plugin for pytest.
53. Faker: Library for generating fake data such as names,
addresses, and phone numbers.
54. python-dotenv: Library for managing environment
variables in a .env file.
55. Pexpect: Pure Python expect-like module for controlling
interactive programs.
56. Pygame Mixer: Module for loading and playing sounds.
57. Kivy: Open-source Python library for rapid development
of applications that make use of innovative user interfaces, such as multi-touch
apps.
58. bokeh: Interactive visualization library for modern web
browsers.
59. Holoviews: Composable, declarative plotting library
built on top of Bokeh.
60. Cython: Superset of Python that supports calling C
functions and declaring C types on variables and class attributes.
61. PyInstaller: Converts Python applications into
stand-alone executables, under Windows, GNU/Linux, Mac OS X, FreeBSD, Solaris,
and AIX.
62. NumPy: Library for the Python programming language,
adding support for large, multi-dimensional arrays and matrices, along with a
large collection of high-level mathematical functions to operate on these
arrays.
63. SQLAlchemy: SQL toolkit and Object-Relational Mapping
(ORM) library for Python.
64. Pillow: Imaging library for Python. It adds support for
opening, manipulating, and saving many different image file formats.
65. pydantic: Data validation and settings management using
Python type annotations.
66. black: Python code formatter.
67. flake8: Tool that glues together pycodestyle, pyflakes,
mccabe, and third-party plugins to check the style and quality of Python code.
68. pylint: Source code analyzer.
69. pytest: Testing framework.
70. attrs: Python package that defines a simple way to create
classes with attributes, without writing a lot of boilerplate code.
71. loguru: Python logging made (stupidly) simple.
72. selenium: Python language bindings for Selenium
WebDriver.
73. scikit-image: Collection of algorithms for image processing.
74. PyInstaller: Converts Python applications into
stand-alone executables, under Windows, GNU/Linux, Mac OS X, FreeBSD, Solaris,
and AIX.
75. Pygame: Set of Python modules designed for writing video
games.
76. nltk: Natural Language Toolkit.
77. pydantic: Data validation and settings management using
Python type annotations.
78. attrs: Python package that defines a simple way to
create classes with attributes, without writing a lot of boilerplate code.
79. docutils: Open-source text processing system for
processing plaintext documentation into useful formats, such as HTML, LaTeX,
man pages, and others.
80. matplotlib: Comprehensive library for creating static,
animated, and interactive visualizations in Python.
81. scikit-learn: Simple and efficient tools for predictive
data analysis, built on NumPy, SciPy, and matplotlib.
82. click: Package for creating beautiful command line
interfaces in a composable way with as little code as necessary.
83. attrs: Python package that defines a simple way to
create classes with attributes, without writing a lot of boilerplate code.
84. seaborn: Statistical data visualization library based on
matplotlib.
85. pydantic: Data validation and settings management using
Python type annotations.
86. SQLAlchemy: SQL toolkit and Object-Relational Mapping
(ORM) library for Python.
87. pydantic: Data validation and settings management using
Python type annotations.
88. click: Package for creating beautiful command line
interfaces in a composable way with as little code as necessary.
89. seaborn: Statistical data visualization library based on
matplotlib.
90. PyYAML: YAML parser and emitter for Python.
91. pandas: Library providing high-performance, easy-to-use
data structures and data analysis tools for the Python programming language.
92. matplotlib: Comprehensive library for creating static,
animated, and interactive visualizations in Python.
93. flask: Lightweight WSGI web application framework.
94. pytz: World timezone definitions for Python.
95. scipy: Open-source software for mathematics, science,
and engineering.
96. numpy: Library for the Python programming language,
adding support for large, multi-dimensional arrays and matrices, along with a
large collection of high-level mathematical functions to operate on these
arrays.
97. pytz: World timezone definitions for Python.
98. click: Package for creating beautiful command line
interfaces in a composable way with as little code as necessary.
99. scipy: Open-source software for mathematics, science,
and engineering.
100. pytz: World timezone definitions for Python.
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