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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.
The Conda package manager's historical differentiation analyzed and resolved these installation conflicts. [ 39 ] 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 ...
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 .
It provides atomic upgrades and rollbacks, side-by-side installation of multiple versions of a package, multi-user package management and easy setup of build environments; OpenPKG: Cross-platform package management system based on RPM Package Manager; opkg: Fork of ipkg lightweight package management intended for use on embedded Linux devices;
PyCharm is an integrated development environment (IDE) used for programming in Python.It provides code analysis, a graphical debugger, an integrated unit tester, integration with version control systems, and supports web development with Django.
A-A-P, a tool used to download, build and install software via Makefile-like "recipes" Anaconda (installer), an open-source system installer for Linux distributions primarily used in Fedora Linux, CentOS, and Red Hat Enterprise Linux. Anki, a spaced repetition flashcard program
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]
It is possible [4] for dependency hell to result from installing a prepared package via a package manager (e.g. APT), but this is unlikely since major package managers have matured and official repositories are well maintained. This is the case with current releases of Debian and major derivatives such as Ubuntu.