17 lines
977 B
Plaintext
17 lines
977 B
Plaintext
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SciPy (pronounced "Sigh Pie") is open-source software for mathematics,
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science, and engineering. It includes modules for statistics,
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optimization, integration, linear algebra, Fourier transforms, signal
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and image processing, genetic algorithms, ODE solvers, and more. It
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is also the name of a very popular conference on scientific
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programming with Python.
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The SciPy library depends on NumPy, which provides convenient and fast
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N-dimensional array manipulation. The SciPy library is built to work
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with NumPy arrays, and provides many user-friendly and efficient
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numerical routines such as routines for numerical integration and
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optimization. Together, they run on all popular operating systems, are
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quick to install, and are free of charge. NumPy and SciPy are easy to
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use, but powerful enough to be depended upon by some of the world's
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leading scientists and engineers. If you need to manipulate numbers on
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a computer and display or publish the results, give SciPy a try!
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