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Intro

SciPy provides a large menu of libraries for scientific computation, such as integration, interpolation, signal processing, linear algebra, statistics, etc. It is built upon the infrastructure of Numpy

Scikit-learn is a collection of advanced machine-learning algorithms for Python. It also is built upon Numpy and SciPy

Core numeric libraries​

Numpy : numerical computing with powerful numerical arrays objects, and routines to manipulate them

Scipy : high-level numerical routines. Optimization, regression, interpolation

Matplotlib : 2-D visualization, "publication-ready" plots

Domain-specific packages​

  • Mayavi for 3-D visualization
  • pandas, statsmodels, seaborn for statistics
  • sumpy for symbolic computing
  • scikit-image for image processing
  • scikit-learn for machine learning