The Scientific Python ecosystem

Core numeric libraries

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

• Scipy
  high-level numerical routines. Optimization, regression, interpolation, etc;

• Matplotlib
  2-D visualization, “publication-ready” plots

Advanced interactive environments

• IPython
  an advanced Python console

• Jupyter
  notebooks in the browser

Domain-specific packages

• Mayavi for 3-D visualization

• pandas, statsmodels, seaborn for statistics

• sympy for symbolic computing

• scikit-image for image processing

• scikit-learn for machine learning

Refenrence

1.1. Python scientific computing ecosystem