LogoLogo
  • ๐Ÿ‘‹Welcome!
  • Disciplines
    • ๐Ÿš€ Aerospace Engineering
    • ๐Ÿ“’ Accounting and Finance
    • ๐ŸŒฑ Agriculture and Forestry
    • ๐Ÿบ Archaeology
    • ๐Ÿ™๏ธ Architecture and Urban Planning
    • ๐ŸŽจ Art and Art History
    • ๐Ÿš— Automotive Engineering
    • ๐Ÿ”ฌ Biology and Chemistry
    • ๐Ÿงช Chemical Engineering
    • ๐Ÿ’ป Computer Science and Engineering
    • ๐Ÿ’ฌ Communication Studies
    • ๐Ÿณ Culinary Arts
    • ๐Ÿ“Š Data Science and Statistics
    • ๐Ÿ’น Economics and Finance
    • ๐Ÿ“š Education
    • ๐ŸŒ Environmental Law and Policy
    • ๐ŸŒฟ Environmental Science
    • ๐Ÿ‘— Fashion and Textile Design
    • ๐ŸŒ Geography and Geosciences
    • ๐Ÿงฌ Genetics and Genomics
    • ๐Ÿฅ Health and Medicine
    • ๐Ÿ“– History
    • ๐Ÿจ Hospitality and Tourism
    • ๐Ÿ“ฐ Journalism and Media Studies
    • โš–๏ธ Law
    • ๐Ÿ—ฃ๏ธ Linguistics
    • ๐ŸŒŠ Maritime Studies and Oceography
    • โž— Mathematics
    • ๐Ÿ› ๏ธ Mechanical Engineering
    • ๐ŸŽต Music and Musicology
    • ๐ŸŽญ Performing Arts
    • ๐Ÿ’ญ Philosophy
    • ๐ŸŒŒ Physics and Astronomy
    • ๐Ÿ›๏ธ Political Science and International Relations
    • ๐Ÿง  Psychology
    • ๐Ÿ•Š๏ธ Religious Studies
    • ๐Ÿ‘ฅ Social Sciences
    • ๐Ÿƒโ€โ™‚๏ธ Sports Science
    • ๐Ÿพ Veterinary Science
  • Collaborating
    • ๐ŸคHow to contribute
Powered by GitBook
On this page
  • Django
  • Flask
  • GitPython
  • Keras
  • Matplotlib
  • NumPy
  • Pandas
  • PyTorch
  • Scikit-learn
  • SciPy
  • TensorFlow
  • Theano
  • Tkinter
  • Tornado
  • SQLAlchemy

Was this helpful?

Edit on GitHub
  1. Disciplines

๐Ÿ’ป Computer Science and Engineering

Previous๐Ÿงช Chemical EngineeringNext๐Ÿ’ฌ Communication Studies

Last updated 1 year ago

Was this helpful?

Django

  • Description: A high-level Python web framework that encourages rapid development and clean, pragmatic design.

  • Use Case: Building robust web applications and services.

  • Documentation:

  • GitHub Repository:

Flask

  • Description: A lightweight WSGI web application framework.

  • Use Case: Developing simple and scalable web applications with ease.

  • Documentation:

  • GitHub Repository:

GitPython

  • Description: A python library used to interact with Git repositories.

  • Use Case: Automating git operations, repository management, and accessing repository data.

  • Documentation:

  • GitHub Repository:

Keras

  • Description: An open-source software library that provides a Python interface for artificial neural networks.

  • Use Case: Building and training deep learning models, particularly in machine learning and AI research.

Matplotlib

  • Description: A plotting library for creating static, animated, and interactive visualizations in Python.

  • Use Case: Data visualization in various computer science domains.

NumPy

  • Description: Fundamental package for scientific computing with Python.

  • Use Case: Handling numerical data, performing mathematical operations essential in computing algorithms.

Pandas

  • Description: Data analysis and manipulation library.

  • Use Case: Data manipulation and analysis, especially useful in big data and data science applications.

PyTorch

  • Description: An open-source machine learning library based on the Torch library.

  • Use Case: Building and training machine learning and deep learning models, especially in AI research.

Scikit-learn

  • Description: Machine learning in Python.

  • Use Case: Machine learning tasks such as classification, regression, clustering, and dimensionality reduction.

SciPy

  • Description: An open-source Python library used for scientific and technical computing.

  • Use Case: Technical computations integral to computer science research and applications.

TensorFlow

  • Description: An end-to-end open source platform for machine learning.

  • Use Case: Developing and training machine learning and deep learning models.

Theano

  • Description: A Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently.

  • Use Case: Deep learning research and development, particularly in optimizing mathematical operations for speed and efficiency.

Tkinter

  • Description: The standard GUI toolkit for Python.

  • Use Case: Building simple and lightweight graphical user interfaces for Python applications.

Tornado

  • Description: A Python web framework and asynchronous networking library.

  • Use Case: Developing non-blocking network applications, like long-polling and WebSockets-based applications.

SQLAlchemy

  • Description: The Python SQL toolkit and Object-Relational Mapping (ORM) library.

  • Use Case: Database interaction and management for Python applications, providing a full suite of well-known enterprise-level persistence patterns.

Documentation:

GitHub Repository:

Documentation:

GitHub Repository:

Documentation:

GitHub Repository:

Documentation:

GitHub Repository:

Documentation:

GitHub Repository:

Documentation:

GitHub Repository:

Documentation:

GitHub Repository:

Documentation:

GitHub Repository:

Documentation:

GitHub Repository:

Documentation: Part of Python's standard library, documentation available at

Documentation:

GitHub Repository:

Documentation:

GitHub Repository:

Django Documentation
Django GitHub
Flask Documentation
Flask GitHub
GitPython Documentation
GitPython GitHub
Keras Documentation
Keras GitHub
Matplotlib Documentation
Matplotlib GitHub
NumPy Documentation
NumPy GitHub
Pandas Documentation
Pandas GitHub
PyTorch Documentation
PyTorch GitHub
Scikit-learn Documentation
Scikit-learn GitHub
SciPy Documentation
SciPy GitHub
TensorFlow Documentation
TensorFlow GitHub
Theano Documentation
Theano GitHub
Python's Official Documentation
Tornado Documentation
Tornado GitHub
SQLAlchemy Documentation
SQLAlchemy GitHub
Page cover image