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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 .
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.
Conda is an open source, [16] cross-platform, [17] language-agnostic [18] package manager and environment management system [19] [20] [50] that installs, runs, and updates packages and their dependencies. [16] It was created for Python programs, but it can package and distribute software for any language (e.g., R), including multi-language ...
The level of the debugging support depends on the version used, with each tier of service giving the user more features with which they can debug. [citation needed] Wing 101 supports: Debug code launched from the IDE (as a file or module with 'python -m'); Interactive debugging from (and within) the integrated Python Shell;
OriginPro, a commercial graphing and analysis software, provides a Python environment for both embedded and external access; QGIS uses Python for scripting and plugin-development; Rhinoceros 3D version 5.0 [18] and its visual-scripting language Grasshopper uses IronPython [19] Rhythmbox; Scribus; 3DSlicer, medical image visualisation and ...
Conda: a package manager for open data science platform of the Python and R; CPAN: a programming library and package manager for Perl; CRAN: a programming library and package manager for R; CTAN: a package manager for TeX; Docker: Docker, a system for managing containers, serves as a package manager for deploying containerized applications
If app1 depends on libfoo 1.2, and app2 depends on libfoo 2.0, and different versions of libfoo cannot be simultaneously installed, then app1 and app2 cannot simultaneously be used (or installed, if the installer checks dependencies). When possible, this is solved by allowing simultaneous installations of the different dependencies.
It 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.