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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.
Conda is an open-source, [2] cross-platform, [3] language-agnostic package manager and environment management system. It was originally developed to solve package management challenges faced by Python data scientists, and today is a popular package manager for Python and R. [4][5] At first, Anaconda Python distribution was developed by Anaconda ...
Anaconda is a free and open-source system installer for Linux distributions.. Anaconda is used by Red Hat Enterprise Linux, Oracle Linux, Scientific Linux, Rocky Linux, AlmaLinux, CentOS, MIRACLE LINUX, Qubes OS, Fedora, Sabayon Linux and BLAG Linux and GNU, also in some less known and discontinued distros like Progeny Componentized Linux, Asianux, Foresight Linux, Rpath Linux and VidaLinux.
Mingw-w64 is a free and open-source suite of developments tools that generate Portable Executable (PE) binaries for Microsoft Windows. It was forked in 2005–2010 from MinGW (Minimalist GNU for Windows). Mingw-w64 includes a port of the GNU Compiler Collection (GCC), GNU Binutils for Windows (assembler, linker, archive manager), a set of ...
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 ...
pip (package manager) pip (also known by Python 3 's alias pip3) is a package-management system written in Python and is used to install and manage software packages. [4] The Python Software Foundation recommends using pip for installing Python applications and its dependencies during deployment. [5] Pip connects to an online repository of ...
Python 3.0, released in 2008, was a major revision not completely backward-compatible with earlier versions. Python 2.7.18, released in 2020, was the last release of Python 2. [36] Python consistently ranks as one of the most popular programming languages, and has gained widespread use in the machine learning community. [37] [38] [39] [40]
A light-weight Linux distribution is one that uses lower memory and/or has less processor-speed requirements than a more "feature-rich" Linux distribution. The lower demands on hardware ideally result in a more responsive machine, and/or allow devices with fewer system resources (e.g. older or embedded hardware) to be used productively.