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  2. yarn (package manager) - Wikipedia

    en.wikipedia.org/wiki/Yarn_(package_manager)

    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.

  3. pip (package manager) - Wikipedia

    en.wikipedia.org/wiki/Pip_(package_manager)

    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]

  4. Python Package Index - Wikipedia

    en.wikipedia.org/wiki/Python_Package_Index

    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.

  5. APT (software) - Wikipedia

    en.wikipedia.org/wiki/APT_(software)

    full-upgrade (apt) and dist-upgrade (apt-get), in addition to performing the function of upgrade, also intelligently handles changing dependencies with new versions of packages; apt and apt-get have a "smart" conflict resolution system, and will attempt to upgrade the most important packages at the expense of less important ones if necessary.

  6. Anaconda (Python distribution) - Wikipedia

    en.wikipedia.org/wiki/Anaconda_(Python_distribution)

    Anaconda Cloud is a package management service by Anaconda where users can find, access, store and share public and private notebooks, environments, and Conda and PyPI packages. [52] Cloud hosts useful Python packages, notebooks and environments for a wide variety of applications.

  7. Python Software Foundation - Wikipedia

    en.wikipedia.org/wiki/Python_Software_Foundation

    The Python Software Foundation (PSF) is an American nonprofit organization devoted to the Python programming language, [3] launched on March 6, 2001. The mission of the foundation is to foster development of the Python community and is responsible for various processes within the Python community, including developing the core Python distribution, managing intellectual rights, developer ...

  8. SciPy - Wikipedia

    en.wikipedia.org/wiki/SciPy

    SciPy (pronounced / ˈ s aɪ p aɪ / "sigh pie" [2]) is a free and open-source Python library used for scientific computing and technical computing. [3]SciPy contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.

  9. Python License - Wikipedia

    en.wikipedia.org/wiki/Python_License

    It was used for versions 1.6 and 2.0 of the Python programming language, both released in the year 2000. The Python License is similar to the BSD License and, while it is a free software license , its wording in some versions meant that it was incompatible with the GNU General Public License (GPL) used by a great deal of free software including ...