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Package Manager Description npm: A package manager for Node.js [21] pip: A package installer for Python [22] apt: For managing Debian Packages [23] Homebrew: A package installer for MacOS that allows one to install packages Apple didn't [24] vcpkg: A package manager for C and C++ [25] [26] yum and dnf: Package manager for Fedora and Red Hat ...
A very common solution to this problem is to have a standardized numbering system, wherein software uses a specific number for each version (aka major version), and also a subnumber for each revision (aka minor version), e.g.: 10.1, or 5.7. The major version only changes when programs that used that version will no longer be compatible.
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
Yarn can install packages from local cache. [8] Yarn binds versions of the package strongly. Yarn uses checksum for ensuring data integrity, while npm uses SHA-512 to check data integrity of the packages downloaded. [9] Yarn installs packages in parallel, while npm installs one package at a time.
A software package is an archive file containing a computer program as well as necessary metadata for its deployment. The computer program can be in source code that has to be compiled and built first. [6] Package metadata include package description, package version, and dependencies (other packages that need to be installed beforehand).
R packages are extensions to the R statistical programming language. R packages contain code, data, and documentation in a standardised collection format that can be installed by users of R, typically via a centralised software repository such as CRAN (the Comprehensive R Archive Network).
R is a programming language for statistical computing and data visualization. It has been adopted in the fields of data mining, bioinformatics and data analysis. [9] The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data. R software is open-source and free software.
package release (the number of times the package has been rebuilt using the same version of the software). This field is also often used for indicating the specific distribution the package is intended for by appending strings like "mdv" (formerly, "mdk") ( Mandriva Linux ), "mga" ( Mageia ), "fc4" ( Fedora Core 4), "rh9" ( Red Hat Linux 9 ...