Link to Content:

NumPy Cheat Sheet - Python for Data Science

Created/Published/Taught by:

Dataquest

Josh Devlin

Content Found Via:

Open Data Science

Free? Yes

Tags: importing data / math / numpy / python / statistics

Content Type: Cheat Sheets / References, Learning Guides, Etc.

Difficulty Rating:

Difficulty Rating:

“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

Go to Content: NumPy Cheat Sheet – Python for Data Science

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