Programming
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2 months ago
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Diya Nihalani
Contributor-Level 10
| Applications | Category | Library | Description |
|---|---|---|---|
| Instagram, Pinterest, Disqus | Web development with Django | Django | A high-level web framework that enables the rapid development of secure and maintainable websites |
| LinkedIn, Netflix, Uber | Web development with Django | Flask | A micro web framework that is easy to use and provides flexibility |
| Astrophysics, Oceanography, Weather forecasting | Scientific computing and data analysis | NumPy | Python library for numerical computing that provides support for multi-dimensional arrays and mathematical functions |
| Signal and image processing, optimization, statistics | Scientific computing and data analysis | SciPy | A library that provides a collection of algorithms and functions for scientific computing |
| Finance, economics, data manipulation, analysis | Scientific computing and data analysis | pandas | A library for data manipulation and analysis that provides powerful data structures and data analysis tools |
| Text classification, image recognition, anomaly detection | Artificial intelligence and machine learning | scikit-learn | A library for machine learning that provides a wide range of algorithms for classification, regression, and clustering |
| Natural language processing, speech recognition, image processing | Artificial intelligence and machine learning | TensorFlow | An open-source library for machine learning that provides a wide range of tools for building and deploying machine learning models |
| Computer vision, natural language processing, and speech recognition | Artificial intelligence and machine learning | Keras | A high-level library for deep learning that provides a simple and powerful interface for building neural networks |
| Object detection, image recognition, image restoration | Artificial intelligence and machine learning | OpenCV | A library for computer vision that provides a wide range of tools for image and video processing |
| Web scraping, automated testing, and data extraction | Automation | Selenium | A library for automating web browsers that allows you to automate repetitive tasks such as web scraping and form filling |
| GUI automation, automating repetitive tasks | Automation | pyautogui | A library for automating mouse and keyboard actions |
| Cutelyst web framework, Eric Python IDE | Desktop Applications | PyQt | A set of Python bindings for the Qt application framework that allows you to create cross-platform GUI applications |
| Boa-constructor, RUR-PLE | Desktop Applications | wxPython | A set of Python bindings for the wxWidgets GUI toolkit that allows you to create cross-platform GUI applications |
| Network scanning, packet crafting, and network security | Networking | Scapy | A library for packet manipulation and network discovery that provides a powerful and flexible interface for interacting with networks |
| Automated backups, file transfers, and remote execution | Networking | Paramiko | A library for SSH and SFTP that allows you to automate remote server management tasks |
| Chat servers, multiplayer games, and distributed systems | Networking | Twisted | An event-driven networking engine that provides a wide range of tools for building networked applications |
These are just a few examples of how Python is used. It is a versatile language that can be applied to many different tasks.
New answer posted
2 months ago
0 Follower
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D
Diya Nihalani
Contributor-Level 10
- Python was created in the late 1980s by Guido van Rossum at Centrum Wiskunde & Informatica (CWI) in the Netherlands.
- It was first released in 1991, but began as a hobby project.
- Python 2.0 was released in 2000, and Python 3.0 in 2008
- Python has been consistently updated and improved by the community
- Python has now become one of the most popular programming languages worldwide
- Google widely uses Python, and it is also ranked number 1 on the PYpl list of top programming languages for December 2022.
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