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  2. Conda (package manager) - Wikipedia

    en.wikipedia.org/wiki/Conda_(Package_Manager)

    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.

  3. Cobbler (software) - Wikipedia

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

    Snippets can be dynamic Python code that expands the limited functionality of Anaconda. The combination of profiles, ksmeta and snippets gives Cobbler high flexibility; complexity is avoided by keeping the actual "code" in the snippets, of which there can be one for each task in an installation. There are examples for network setup or disk ...

  4. Python (programming language) - Wikipedia

    en.wikipedia.org/wiki/Python_(programming_language)

    Python 3.0, released in 2008, was a major revision not completely backward-compatible with earlier versions. Python 2.7.18, released in 2020, was the last release of Python 2. [37] Python consistently ranks as one of the most popular programming languages, and has gained widespread use in the machine learning community. [38] [39] [40] [41]

  5. PythonAnywhere - Wikipedia

    en.wikipedia.org/wiki/PythonAnywhere

    PythonAnywhere is an online integrated development environment (IDE) and web hosting service (Platform as a service) based on the Python programming language. [1] Founded by Giles Thomas and Robert Smithson in 2012, it provides in-browser access to server-based Python and Bash command-line interfaces, along with a code editor with syntax highlighting.

  6. CuPy - Wikipedia

    en.wikipedia.org/wiki/CuPy

    CuPy is an open source library for GPU-accelerated computing with Python programming language, providing support for multi-dimensional arrays, sparse matrices, and a variety of numerical algorithms implemented on top of them. [3] CuPy shares the same API set as NumPy and SciPy, allowing it to be a drop-in replacement to run NumPy/SciPy code on GPU.

  7. Ports collection - Wikipedia

    en.wikipedia.org/wiki/Ports_collection

    Ports collections (or ports trees, or just ports) are the sets of makefiles and patches provided by the BSD-based operating systems, FreeBSD, NetBSD, and OpenBSD, as a simple method of installing software or creating binary packages.

  8. Fedora Linux release history - Wikipedia

    en.wikipedia.org/wiki/Fedora_Linux_release_history

    Many improvements to the Anaconda installer; [34] among these features, it now supports resizing ext2, ext3 and NTFS file systems, and can create and install Fedora to encrypted file systems. Firefox 3.0 beta 5 is included in this release, and the 3.0 package was released as an update the same day as the general release.

  9. Installation (computer programs) - Wikipedia

    en.wikipedia.org/wiki/Installation_(computer...

    Installation (or setup) of a computer program (including device drivers and plugins), is the act of making the program ready for execution. Installation refers to the particular configuration of software or hardware with a view to making it usable with the computer. A soft or digital copy of the piece of software (program) is needed to install it.