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Python (programming language) scientific libraries (36 P) Pages in category "Python (programming language) libraries" The following 43 pages are in this category, out of 43 total.
Supports all JavaScript and CSS libraries JSFiddle [u] Free Yes Yes Yes Yes Yes CoffeeScript, jQuery, Processing.js, Sass, TypeScript, Babel , dozens of included JavsScript libraries JSitor [v] Free Yes Yes Yes Yes Yes Supports all JavaScript and CSS libraries. sequential [w] Free No No Yes No Yes JQ.VER.SION [x] Free Yes Yes Yes No No jQuery
Kivy, open source Python library for developing multitouch application software with a natural user interface (NUI). PyGTK, a popular cross-platform GUI library based on GTK+; furthermore, other GNOME libraries also have bindings for Python; PyQt, another cross-platform GUI library based on Qt; as above, KDE libraries also have bindings
Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. [33] Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional ...
PythonAnywhere is an online integrated development environment (IDE) and web hosting service (Platform as a service) based on the Python programming language. [1] Founded by Giles Thomas and Robert Smithson in 2012, it provides in-browser access to server-based Python and Bash command-line interfaces, along with a code editor with syntax highlighting.
scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...
Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis.In particular, it offers data structures and operations for manipulating numerical tables and time series.
Project Jupyter's name is a reference to the three core programming languages supported by Jupyter, which are Julia, Python and R. Its name and logo are an homage to Galileo's discovery of the moons of Jupiter, as documented in notebooks attributed to Galileo. Jupyter is financially sponsored by NumFOCUS. [1]