Python Libraries: A Categorized List & Example

Category	Library Name	Description
Data Science & Machine Learning	NumPy	Numerical computing, array operations
	Pandas	Data manipulation and analysis, dataframes
	Scikit-learn	Machine learning algorithms (classification, regression, clustering, etc.)
	Matplotlib	Data visualization, plotting graphs
	Seaborn	Statistical data visualization
	TensorFlow	Deep learning framework
	PyTorch	Deep learning framework
	Keras	High-level neural networks API
Web Development	Django	High-level web framework
	Flask	Lightweight web framework
	Requests	Making HTTP requests
	Beautiful Soup	HTML and XML parsing
	FastAPI	Modern, fast (high-performance), web framework for building APIs
Data Analysis & Visualization	SciPy	Scientific computing, optimization, integration, interpolation
	Plotly	Interactive data visualization
	Bokeh	Interactive web plotting
GUI Development	Tkinter	Standard Python GUI library
	PyQt	Cross-platform GUI toolkit
	Kivy	Cross-platform GUI framework (touch-enabled)
Networking & Communication	Socket	Low-level networking interface
	Twisted	Event-driven networking engine
	Paramiko	SSH2 protocol library
Database Interaction	SQLAlchemy	SQL toolkit and Object-Relational Mapper (ORM)
	psycopg2	PostgreSQL adapter
	pymysql	MySQL connector
Testing	pytest	Testing framework
	unittest	Python's built-in testing framework
Image Processing	Pillow (PIL)	Image manipulation and processing
	OpenCV	Computer vision library
Natural Language Processing (NLP)	NLTK	Natural language toolkit
	SpaCy	Industrial-strength NLP library
	Gensim	Topic modeling and document similarity
Automation & System Administration	os	Operating system interface
	shutil	High-level file operations
	subprocess	Running external commands
	psutil	System monitoring (CPU, memory, processes)
Game Development	Pygame	Game development library
Data Scraping	Scrapy	Web scraping framework
Date & Time	datetime	Working with dates and times
Mathematics	math	Mathematical functions
Audio Processing	Librosa	Audio and music analysis