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NumPy Cheat Sheet – Python for Data Science No ratings yet.




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NumPy Cheat Sheet - Python for Data Science

Created/Published/Taught by:
Dataquest
Josh Devlin

Content Found Via:
Open Data Science

Free? Yes

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“It’s common when first learning NumPy to have trouble remembering all the functions and methods that you need, and while at Dataquest we advocate getting used to consulting the NumPy documentation, sometimes it’s nice to have a handy reference, so we’ve put together this cheat sheet to help you out.”

This cheat sheet covers the following topics:

  • Key and Imports
  • Importing/Exporting
  • Creating Arrays
  • Inspecting Properties
  • Copying/sorting/reshaping
  • Adding/removing Elements
  • Combining/splitting
  • Indexing/slicing/subsetting
  • Scalar Math
  • Vector Math
  • Statstics

Recommended Prerequisites: none

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