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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 Inc.; later, it was spun out as a separate package, [6] released under the BSD license.
Anaconda distribution comes with over 300 packages automatically installed, and over 7,500 additional open-source packages can be installed from the Anaconda repository [36] as well as the Conda package and virtual environment manager. It also includes a GUI, Anaconda Navigator, [37] as a graphical alternative to the command-line interface (CLI ...
The following package management systems distribute the source code of their apps. Either the user must know how to compile the packages, or they come with a script that automates the compilation process. For example, in GoboLinux a recipe file contains information on how to download, unpack, compile and install a package using its Compile tool ...
/root/lorax-packages.log - contains a list of names and versions of all packages that have been used to create the installation image /mnt/install/ks.cfg contains the kickstart used for the installation run (if any) After a successful installation, Anaconda stores various important files from the installation run on the system itself.
Ubuntu Software Center, a graphical package manager, was installed by default in Ubuntu 9.10, and stopped being included in Ubuntu releases starting with the Ubuntu 16.04 release. Wicd, a network manager for Linux; YUM, a package management utility for RPM-compatible Linux operating systems
A user can install a package by passing the package name to the pkg install command. This downloads the appropriate package for the installed FreeBSD release version, then installs the application, including any software dependencies it may have. By default, packages are downloaded from the main FreeBSD Package Repository (pkg.freebsd.org), but ...
As of 2020-06-13, Metacran [17] listed 7 of the 8 core packages of the tidyverse in the list of most downloaded R packages. The group of packages strives to provide a cohesive collection of functions to deal with common data science tasks, including data import , cleaning, transformation and visualisation (notably with the ggplot2 package).
Sally contributes a package A. Sally only runs the current version of the software under one version of Microsoft Windows, and has only tested it in that environment. At more or less regular intervals, CRAN tests Sally's contribution under a dozen combinations of operating systems and versions of the core R language software.