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CodeSkulptor is an interactive, web-based Python programming environment that allows Python code to be run in a web browser. The application was developed by Scott Rixner, a professor of computer science at Rice University. [1] Its features include visualization of program execution; the ability to conveniently store, edit, and share code ...
Replit allows for the pulling of code from a GitHub repository and linking Repls to GitHub repositories. [24] Some Repls also have debugger and unit testing support. Replit uses the Debugger Adapter Protocol to provide debugging services in Java , Python , Node.js , and C++ for all users connected to a Repl. [ 25 ] Replit has zero-setup unit ...
Python is a multi-paradigm programming language. Object-oriented programming and structured programming are fully supported, and many of their features support functional programming and aspect-oriented programming (including metaprogramming [70] and metaobjects). [71] Many other paradigms are supported via extensions, including design by ...
RapidSMS, a web framework which extends the logic and capabilities of Django to communicate with SMS messages. Spyce, a technology to embed Python code into webpages. TACTIC, a web-based smart process application and digital asset management system. Tornado, a lightweight non-blocking server and framework.
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.
PyPy (/ ˈ p aɪ p aɪ /) is an implementation of the Python programming language. [2] PyPy often runs faster than the standard implementation CPython because PyPy uses a just-in-time compiler. [3] Most Python code runs well on PyPy except for code that depends on CPython extensions, which either does not work or incurs some overhead when run ...
Dask is an open-source Python library for parallel computing. Dask [1] scales Python code from multi-core local machines to large distributed clusters in the cloud. Dask provides a familiar user interface by mirroring the APIs of other libraries in the PyData ecosystem including: Pandas, scikit-learn and NumPy.
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