Every Python Library / Module Explained in 13 Minutes
AI Summary
Summary of Python Libraries for Development
Pygame: Used for developing 2D games. Allows drawing shapes, handling keyboard events, and incorporates images and animations.
- 3D development possible with OpenGL.
TensorFlow: A library for machine learning that enables building AI models for image and speech recognition. Includes deep learning APIs like Keras for creating neural networks.
PyTorch: Another library for neural networks, known for user-friendly features and easier layer-by-layer building compared to TensorFlow.
Tkinter: Library for building graphical user interfaces (GUIs) with pre-made widgets for buttons, text boxes, etc. Works well with databases and other Python libraries like Matplotlib.
OpenCV: Specializes in image recognition and real-time object detection, facial recognition, and more.
NumPy: Facilitates scientific computing, handling multi-dimensional arrays efficiently by ensuring contiguous memory storage.
Pandas: Essential for data science, allows data structuring into data frames (tables of rows and columns), and supports data import/export.
Kivy: Framework for developing mobile apps with natural user interfaces using gestures and voice commands.
Beautiful Soup: Library for web scraping HTML elements from websites.
Selenium: Web scraper for dynamic, interactive sites.
Scrapy: A full framework for large-scale web scraping and data processing.
SQLite: Enables serverless databases using SQL in Python.
Pillow: Image processing library for editing and manipulating images.
Matplotlib: Data visualization library for creating customizable graphs and charts.
SciPy: Enhances numerical calculations, building on NumPy for advanced scientific computing.
Scikit-learn: General machine learning library focused on supervised and unsupervised learning.
NLTK: Toolkit for natural language processing, tokenization, and implementing algorithms for word prediction.
Pickle: Serialization module for converting Python objects into byte streams.
Pyglet: Library for creating games with graphics, sound, and user input.
Visual Python (VPython): For creating 3D visual displays and animations.
Plotly: Library for creating interactive web-based visualizations.
SQLAlchemy: User-friendly ORM for relational databases, supporting various SQL databases.
FastAPI: Framework for building APIs.
Django: A comprehensive framework for web development, supporting database management and dynamic web pages.
Flask: Lightweight web framework suitable for small projects.
PyWin32: Access to Windows API, automating tasks and interacting with the OS.
PyInstaller: Converts Python scripts into executable programs.
PyQt: Enables cross-platform GUI development with the Qt framework using Python.