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SciPy (pronounced / ˈsaɪpaɪ / "sigh pie" [2]) is a free and open-source Python library used for scientific computing and technical computing. [3] SciPy contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.
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 when run in PyPy.
Visual Studio Code, also commonly referred to as VS Code, [ 9 ] is an integrated development environment developed by Microsoft for Windows, Linux, macOS and web browsers. [ 10 ][ 11 ] Features include support for debugging, syntax highlighting, intelligent code completion, snippets, code refactoring, and embedded version control with Git.
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, or compiled to machine code, and based that way. Nuitka compiles Python into C. [163] Numba uses LLVM to compile a subset of Python to machine code. Pythran compiles ...
First, you need to compile your program. Assuming your program is written in C and the source code is in a file named program.c, you would use the following command: The above command tells gcc to compile program.c and create an executable named program.
MicroPython is a software implementation of a programming language largely compatible with Python 3, written in C, that is optimized to run on a microcontroller. [2][3] MicroPython consists of a Python compiler to bytecode and a runtime interpreter of that bytecode. The user is presented with an interactive prompt (the REPL) to execute ...
Mojo is a programming language in the Python family that is currently under development. [3][4][5] It is available both in browsers via Jupyter notebooks, [5][6] and locally on Linux and macOS. [7][8] Mojo aims to combine the usability of higher level programming languages, specifically Python, with the performance of system programming languages like C++, Rust, and Zig. [9] The Mojo compiler ...
Comparison of online source code playgrounds The following table lists notable online software source code playgrounds. A playground allows learning about, experimenting with and sharing source code. [1][2][3][4][5][6]