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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.
Open source packages can be individually installed from the Anaconda repository, [45] Anaconda Cloud (anaconda.org), or the user's own private repository or mirror, using the conda install command. Anaconda, Inc. compiles and builds the packages available in the Anaconda repository itself, and provides binaries for Windows 32 / 64 bit , Linux ...
Compared to libraries in other programming languages, R packages must conform to a relatively strict specification. [3] The Writing R Extensions manual [7] specifies a standard directory structure for R source code, data, documentation, and package metadata, which enables them to be installed and loaded using R's in-built package management ...
Characteristic features of tidyverse packages include extensive use of non-standard evaluation and encouraging piping. [3] [4] [5] As of November 2018, the tidyverse package and some of its individual packages comprise 5 out of the top 10 most downloaded R packages. [6] The tidyverse is the subject of multiple books and papers.
Pip, a package manager used to install and manage Python software packages such as those from the Python Package Index (PyPI) software repository; PiTiVi, a non-linear video editor; Portage, the heart of Gentoo Linux, an advanced package management system based on the BSD-style ports system
C, Fortran, R [7] R language, Python (by RPy), Perl (by Statistics::R module) R++: Zebrys 1.6.15 (8 December 2023 ()) [8] No Proprietary: CLI, GUI: C++, Qt R language: RKWard: RKWard community 0.7.3 (21 April 2022 ()) [9] Yes GNU GPL: CLI, GUI: C++, ECMAScript R language, Python (by RPy), Perl (by Statistics::R module) Revolution Analytics
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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 public packages, called the ...