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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.
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 ...
Pip's command-line interface allows the install of Python software packages by issuing a command: pip install some-package-name. Users can also remove the package by issuing a command: pip uninstall some-package-name. pip has a feature to manage full lists of packages and corresponding version numbers, possible through a "requirements" file. [14]
National Postal Museum (since 1993), a museum in Washington, D.C., United States; National Palace Museum, a museum in Taipei, Taiwan; npm, Inc., a software development and hosting company based in California, United States
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 Enterprise Linux [27] pacman: Package manager for Arch Linux [28]
An early package manager was SMIT (and its backend installp) from IBM AIX. SMIT was introduced with AIX 3.0 in 1989. [citation needed]Early package managers, from around 1994, had no automatic dependency resolution [3] but could already drastically simplify the process of adding and removing software from a running system.
The Python Package Index, abbreviated as PyPI (/ ˌ p aɪ p i ˈ aɪ /) and also known as the Cheese Shop (a reference to the Monty Python's Flying Circus sketch "Cheese Shop"), [2]: 8 [3]: 742 is the official third-party software repository for Python. [4] It is analogous to the CPAN repository for Perl [5]: 36 and to the CRAN repository for R.
Dask is an open-source Python library for parallel computing.Dask [1] scales Python code from multi-core local machines to large distributed clusters in the cloud. Dask provides a familiar user interface by mirroring the APIs of other libraries in the PyData ecosystem including: Pandas, scikit-learn and NumPy.