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SciPy - Installation

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Why SciPy? Fundamental algorithms. Broadly applicable. Foundational. Interoperable. Performant. Open source.

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Installation

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Installations methods include: Distributions pip conda Package Manager Source Methods differ in ease of use, coverage, maintenance of old versions, system-wide versus local environment use, and control. With pip or Anaconda's conda, you can control the package versions for a specific project to prevent conflicts. Conda also controls non-Python packages, like MKL or HDF5. System package managers, like apt-get, install across the entire computer, often have older versions, and don't have as many available versions.

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