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Despite claiming high performance, no tool can claim to do that for arbitrary Python code; i.e. it's known not possible to compile to a faster language or machine code. Unless semantics of Python are changed, but in many cases speedup is possible with few or no changes in the Python code. The faster Julia source code can then be used from ...
Python Tools for Visual Studio, Free and open-source plug-in for Visual Studio. Spyder, IDE for scientific programming. Vim, with "lang#python" layer enabled. [2] Visual Studio Code, an Open Source IDE for various languages, including Python. Wing IDE, cross-platform proprietary with some free versions/licenses IDE for Python.
Spyder is an open-source cross-platform integrated development environment (IDE) for scientific programming in the Python language. Spyder integrates with a number of prominent packages in the scientific Python stack, including NumPy, SciPy, Matplotlib, pandas, IPython, SymPy and Cython, as well as other open-source software. [ 4][ 5] It is ...
eric (software) eric is a free integrated development environment (IDE) used for computer programming. Since it is a full featured IDE, it provides by default all necessary tools needed for the writing of code and for the professional management of a software project. eric is written in the programming language Python and its primary use is for ...
MIT License ( free software) [ 6][ 7] Website. atom .io. Atom is a free and open-source text and source-code editor for macOS, Linux, and Windows with support for plug-ins written in JavaScript, and embedded Git control. Developed by GitHub, Atom was released on June 25, 2015.
Embeetle IDE - free, fast (non-eclipse) IDE. Works both on Linux and Windows. [16] emIDE by emide – free Visual Studio Style IDE including GNU Tools for ARM [17] GNU ARM Eclipse – A family of Eclipse CDT extensions and tools for GNU ARM development [13] GNU Tools (aka GCC) for ARM Embedded Processors by ARM Ltd – free GCC for bare metal ...
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.
The OCaml toolchain includes an interactive top-level interpreter, a bytecode compiler, an optimizing native code compiler, a reversible debugger, and a package manager (OPAM). OCaml was initially developed in the context of automated theorem proving, and is used in static analysis and formal methods software.