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  2. Anaconda (Python distribution) - Wikipedia

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

    Anaconda is a distribution of the Python and R programming languages for scientific computing ( data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment. The distribution includes data-science packages suitable for Windows, Linux, and macOS.

  3. Conda (package manager) - Wikipedia

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

    Conda (package manager) Conda is an open-source, [2] cross-platform, [3] language-agnostic package manager and environment management system. 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 ...

  4. Spyder (software) - Wikipedia

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

    Spyder is an open-source cross-platform integrated development environment (IDE) for scientific programming in the Python language. Spyder integrates with a number of prominent packages in the scientific Python stack, including NumPy, SciPy, Matplotlib, pandas, IPython, SymPy and Cython, as well as other open-source software. [ 4][ 5] It is ...

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  6. Anaconda (installer) - Wikipedia

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

    Anaconda (installer) Anaconda is a free and open-source system installer for Linux distributions. Anaconda is used by Red Hat Enterprise Linux, Oracle Linux, Scientific Linux, Rocky Linux, AlmaLinux, CentOS, MIRACLE LINUX, Qubes OS, Fedora, Sabayon Linux and BLAG Linux and GNU, also in some less known and discontinued distros like Progeny ...

  7. ‘Cockroaches of the factory’: Workers paint a picture of ...

    www.aol.com/most-detailed-explanation-yet-boeing...

    Workers on the Boeing 737 Max that lost a door plug on a January flight told federal safety investigators that they felt pressure to do their jobs too fast to avoid mistakes, according to ...

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