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Project Jupyter (/ ˈdʒuːpɪtər / ⓘ) is a project to develop open-source software, open standards, and services for interactive computing across multiple programming languages. It was spun off from IPython in 2014 by Fernando Pérez and Brian Granger. Project Jupyter's name is a reference to the three core programming languages supported ...
Coder Online IDE [q] Free Yes Yes Yes Yes Yes Batch, Clojure, CoffeeScript, CSS, C++, Go, HTML, Java, JavaScript, JSON, Markdown, PHP, Python, Ruby, Rust, TypeScript, Visual Basic, XML: CSSDesk [r] Free Yes Yes No No No JS Bin [s] Free & Paid Yes Yes Yes No No CSS Less/Myth/Sass, CoffeeScript, jQuery, Processing.js: intervue.io [t] Free & Paid ...
Research compilers are mostly not robust or complete enough to handle real, large applications. They are used mostly for fast prototyping new language features and new optimizations in research areas. Open64: A popular research compiler. Open64 merges the open source changes from the PathScale compiler mentioned.
nuitka.net. Nuitka (pronounced as / njuːtkʌ / [2]) is a source-to-source compiler which compiles Python code to C source code, applying some compile-time optimizations in the process such as constant folding and propagation, built-in call prediction, type inference, and conditional statement execution. [3][4] Nuitka initially was designed to ...
Replit is an online integrated development environment that can be used with a variety of programming languages. Replit originally supported over 50 programming language but as of February 23, 2022, Replit uses the Nix package manager [18] which allows users access to the entire Nixpkgs package database. New Repls can be created through ...
Anaconda is a distribution of the Python and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment. The distribution includes data-science packages suitable for Windows, Linux, and macOS.
pypy.org. PyPy (/ ˈpaɪpaɪ /) 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 ...
Python compiler may refer to: Python, a native code compiler for CMU Common Lisp; One of several compiler implementations for the Python programming language: ...