scipy

SciPy is an open-source Python library used in mathematics, science and engineering. It is designed to work with NumPy arrays and offers numerical routines for fields such as statistics, optimization, integration, and linear algebra. It works on all popular operating systems and is used in numerical computing processes.

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scipy · Scientific Research & Computing

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VERSIONv1.18.1
UPDATEDtoday
PythonMatematikOptimizationİstatistikBSD-3-Clause
What can it do?
  • İstatistik, you run optimization and integration routines.
  • You process signals and images with Fourier transformations.
  • You perform linear algebra calculations and ordinary differential equation solutions.
Heads up
  • • High number of open issues (1,893)
User reviews
  • ↓ NegativeHacker News

    Scipy Lecture Notes – Learn numerics, science, and data with Python

    “If you're coming from a MATLAB background, you might find this helpful [0]. When I switched from MATLAB to Python/numpy/scipy, I had to deal with these syntactic annoyances. But now I feel comfortable after using it for many years. Don't forget the biggest edge Python has over…”

  • ↑ PositiveHacker News

    SciPy 1.0: fundamental algorithms for scientific computing in Python

    “You're talking about the wrong language, then. This is not c-python (or python too perhaps) if you want such ridiculous compiler-level optimizations. If you want the languages for loops to be almost on-par with the hyper-optimized implementations being utilized in numpy and the…”

My note

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