Python Uses (CloudMonk.io)
Python Uses
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Main article: List of Python software
Python can serve as a scripting language for web applications, e.g., via Error: File not found: Not a typo|mod_wsgi for the Apache web server.
Libraries such as NumPy, SciPy and Matplotlib allow the effective use of Python in scientific computing,[Error: File not found: cite journal |last=Oliphant |first=Travis |title=Python for Scientific Computing |journal=Computing in Science and Engineering |volume=9 |issue=3 |pages=10–20 |year=2007 |url=https://www.h2desk.com/blog/python-scientific-computing/ |doi=10.1109/MCSE.2007.58 |citeseerx=10.1.1.474.6460 |bibcode=2007CSE.....9c..10O |s2cid=206457124 |access-date=10 April 2015 |archive-date=15 June 2020 |archive-url=https://web.archive.org/web/20200615193226/https://www.h2desk.com/blog/python-scientific-computing/ |url-status=live ][Error: File not found: cite journal |first1=K. Jarrod |last1=Millman |first2=Michael |last2=Aivazis |title=Python for Scientists and Engineers |journal=Computing in Science and Engineering |volume=13 |number=2 |pages=9–12 |year=2011 |url=http://www.computer.org/csdl/mags/cs/2011/02/mcs2011020009.html |doi=10.1109/MCSE.2011.36 |bibcode=2011CSE....13b...9M |access-date=7 July 2014 |archive-date=19 February 2019 |archive-url=https://web.archive.org/web/20190219031439/https://www.computer.org/csdl/mags/cs/2011/02/mcs2011020009.html |url-status=live ] with specialized libraries such as Biopython and Astropy providing domain-specific functionality. SageMath is a computer algebra system with a notebook interface programmable in Python: its library covers many aspects of mathematics, including algebra, combinatorics, numerical mathematics, number theory, and calculus.[Error: File not found: Citation|title=Science education with SageMath|url=http://visual.icse.us.edu.pl/methodology/why_Sage.html|publisher=Innovative Computing in Science Education|access-date=22 April 2019|archive-date=15 June 2020|archive-url=https://web.archive.org/web/20200615180428/http://visual.icse.us.edu.pl/methodology/why_Sage.html|url-status=dead] OpenCV has Python bindings with a rich set of features for computer vision and Digital image processing|image processing.[Error: File not found: Cite web|title=OpenCV: OpenCV-Python Tutorials|url=https://docs.opencv.org/3.4.9/d6/d00/tutorial_py_root.html|access-date=2020-09-14|website=docs.opencv.org|archive-date=23 September 2020|archive-url=https://web.archive.org/web/20200923063145/https://docs.opencv.org/3.4.9/d6/d00/tutorial_py_root.html|url-status=live]
Python is commonly used in artificial intelligence projects and machine learning projects with the help of libraries like TensorFlow, Keras, PyTorch|Pytorch and Scikit-learn.[Error: File not found: cite web |last1 = Dean |first1 = Jeff |last2 = Monga |first2 = Rajat |first3 = Sanjay |last3 = Ghemawat |display-authors = 2 |author-link1 = Jeff Dean (computer scientist) |title = TensorFlow: Large-scale machine learning on heterogeneous systems |url = http://download.tensorflow.org/paper/whitepaper2015.pdf |website = TensorFlow.org |publisher = Google Research |access-date = 10 November 2015 |date = 9 November 2015 |archive-date = 20 November 2015 |archive-url = https://web.archive.org/web/20151120004649/http://download.tensorflow.org/paper/whitepaper2015.pdf |url-status = live ][Error: File not found: cite web |last1=Piatetsky |first1=Gregory |title=Python eats away at R: Top Software for Analytics, Data Science, Machine Learning in 2018: Trends and Analysis |url=https://www.kdnuggets.com/2018/05/poll-tools-analytics-data-science-machine-learning-results.html/2 |website=KDnuggets |publisher=KDnuggets |access-date=30 May 2018 |archive-date=15 November 2019 |archive-url=https://web.archive.org/web/20191115234216/https://www.kdnuggets.com/2018/05/poll-tools-analytics-data-science-machine-learning-results.html/2 |url-status=live ][Error: File not found: cite web|url=https://scikit-learn.org/stable/testimonials/testimonials.html|title=Who is using scikit-learn? — scikit-learn 0.20.1 documentation|website=scikit-learn.org|access-date=30 November 2018|archive-date=6 May 2020|archive-url=https://web.archive.org/web/20200506210716/https://scikit-learn.org/stable/testimonials/testimonials.html|url-status=live][Error: File not found: cite web |author-link1 = Norman Jouppi |last1 = Jouppi |first1 = Norm |title = Google supercharges machine learning tasks with TPU custom chip |url = https://cloudplatform.googleblog.com/2016/05/Google-supercharges-machine-learning-tasks-with-custom-chip.html |website = Google Cloud Platform Blog |access-date = 19 May 2016 |archive-date = 18 May 2016 |archive-url = https://web.archive.org/web/20160518201516/https://cloudplatform.googleblog.com/2016/05/Google-supercharges-machine-learning-tasks-with-custom-chip.html |url-status = live ] As a scripting language with modular programming|modular architecture, simple syntax and rich text processing tools, Python is often used for natural language processing.
Python can also be used to create games, with libraries such as Pygame, which can make 2D games.
Python has been successfully embedded in many software products as a scripting language, including in finite element method software such as Abaqus, 3D parametric modeler like FreeCAD, 3D animation packages such as 3ds Max, Blender (software)|Blender, Cinema 4D, Lightwave, Houdini (software)|Houdini, Maya (software)|Maya, modo (software)|modo, MotionBuilder, Autodesk Softimage|Softimage, the visual effects compositor Nuke (software)|Nuke, 2D imaging programs like GIMP,[Error: File not found: cite web |url=http://gimp-win.sourceforge.net/faq.html |title=Installers for GIMP for Windows - Frequently Asked Questions |author= |date=26 July 2013 |access-date=26 July 2013 |url-status=dead |archive-url=https://web.archive.org/web/20130717070814/http://gimp-win.sourceforge.net/faq.html |archive-date=17 July 2013] Inkscape, Scribus and Paint Shop Pro,
Many operating systems include Python as a standard component. It ships with most Linux distributions,[Error: File not found: Cite web|url=https://docs.python.org/3/using/unix.html|title=Python Setup and Usage|publisher=Python Software Foundation|access-date=10 January 2020|archive-date=17 June 2020|archive-url=https://web.archive.org/web/20200617143505/https://docs.python.org/3/using/unix.html|url-status=live] AmigaOS 4 (using Python 2.7), FreeBSD (as a package), NetBSD, OpenBSD (as a package) and macOS and can be used from the command line (terminal). Many Linux distributions use installers written in Python: Ubuntu (operating system)|Ubuntu uses the Ubiquity (software)|Ubiquity installer, while Red Hat Linux and Fedora Linux use the Anaconda (installer)|Anaconda installer. Gentoo Linux uses Python in its package management system, Portage (software)|Portage.
Python is used extensively in the information security industry, including in exploit development.
Most of the Sugar (software)|Sugar software for the One Laptop per Child XO, now developed at Sugar Labs, is written in Python.
LibreOffice includes Python, and intends to replace Java with Python. Its Python Scripting Provider is a core feature[Error: File not found: cite web |title=4.0 New Features and Fixes |publisher=The Document Foundation |work=LibreOffice.org |year=2013 |url=http://www.libreoffice.org/download/4-0-new-features-and-fixes/ |access-date=25 February 2013 |archive-date=9 February 2014 |archive-url=https://web.archive.org/web/20140209184807/http://www.libreoffice.org/download/4-0-new-features-and-fixes/ |url-status=live ] since Version 4.0 from 7 February 2013.
Python: Python Variables, Python Data Types, Python Control Structures, Python Loops, Python Functions, Python Modules, Python Packages, Python File Handling, Python Errors and Exceptions, Python Classes and Objects, Python Inheritance, Python Polymorphism, Python Encapsulation, Python Abstraction, Python Lists, Python Dictionaries, Python Tuples, Python Sets, Python String Manipulation, Python Regular Expressions, Python Comprehensions, Python Lambda Functions, Python Map, Filter, and Reduce, Python Decorators, Python Generators, Python Context Managers, Python Concurrency with Threads, Python Asynchronous Programming, Python Multiprocessing, Python Networking, Python Database Interaction, Python Debugging, Python Testing and Unit Testing, Python Virtual Environments, Python Package Management, Python Data Analysis, Python Data Visualization, Python Web Scraping, Python Web Development with Flask/Django, Python API Interaction, Python GUI Programming, Python Game Development, Python Security and Cryptography, Python Blockchain Programming, Python Machine Learning, Python Deep Learning, Python Natural Language Processing, Python Computer Vision, Python Robotics, Python Scientific Computing, Python Data Engineering, Python Cloud Computing, Python DevOps Tools, Python Performance Optimization, Python Design Patterns, Python Type Hints, Python Version Control with Git, Python Documentation, Python Internationalization and Localization, Python Accessibility, Python Configurations and Environments, Python Continuous Integration/Continuous Deployment, Python Algorithm Design, Python Problem Solving, Python Code Readability, Python Software Architecture, Python Refactoring, Python Integration with Other Languages, Python Microservices Architecture, Python Serverless Computing, Python Big Data Analysis, Python Internet of Things (IoT), Python Geospatial Analysis, Python Quantum Computing, Python Bioinformatics, Python Ethical Hacking, Python Artificial Intelligence, Python Augmented Reality and Virtual Reality, Python Blockchain Applications, Python Chatbots, Python Voice Assistants, Python Edge Computing, Python Graph Algorithms, Python Social Network Analysis, Python Time Series Analysis, Python Image Processing, Python Audio Processing, Python Video Processing, Python 3D Programming, Python Parallel Computing, Python Event-Driven Programming, Python Reactive Programming.
Variables, Data Types, Control Structures, Loops, Functions, Modules, Packages, File Handling, Errors and Exceptions, Classes and Objects, Inheritance, Polymorphism, Encapsulation, Abstraction, Lists, Dictionaries, Tuples, Sets, String Manipulation, Regular Expressions, Comprehensions, Lambda Functions, Map, Filter, and Reduce, Decorators, Generators, Context Managers, Concurrency with Threads, Asynchronous Programming, Multiprocessing, Networking, Database Interaction, Debugging, Testing and Unit Testing, Virtual Environments, Package Management, Data Analysis, Data Visualization, Web Scraping, Web Development with Flask/Django, API Interaction, GUI Programming, Game Development, Security and Cryptography, Blockchain Programming, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Robotics, Scientific Computing, Data Engineering, Cloud Computing, DevOps Tools, Performance Optimization, Design Patterns, Type Hints, Version Control with Git, Documentation, Internationalization and Localization, Accessibility, Configurations and Environments, Continuous Integration/Continuous Deployment, Algorithm Design, Problem Solving, Code Readability, Software Architecture, Refactoring, Integration with Other Languages, Microservices Architecture, Serverless Computing, Big Data Analysis, Internet of Things (IoT), Geospatial Analysis, Quantum Computing, Bioinformatics, Ethical Hacking, Artificial Intelligence, Augmented Reality and Virtual Reality, Blockchain Applications, Chatbots, Voice Assistants, Edge Computing, Graph Algorithms, Social Network Analysis, Time Series Analysis, Image Processing, Audio Processing, Video Processing, 3D Programming, Parallel Computing, Event-Driven Programming, Reactive Programming.
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