My Favorite NumPy and SciPy References

Here are some references I’ve found particularly useful when developing or debugging Python code with NumPy and SciPy.  (I can’t avoid the temptation to use the Australian pronunciation:  “Skippy.”

User’s Guides

These focus on techniques for using specific methods.  They are generally stronger than beginner’s introductions.



Reference Guides

These provide encyclopedic reference on the details of function and syntax.

Language Reference:


Style Guides

These provide some best practices on structuring the code.





The better organized on-line tutorials easily serve as user’s guides.



(Python logo provided courtesy of Python Software Foundation, used here under the “nominative use rules” of their policy.)


One thought on “My Favorite NumPy and SciPy References

  1. Pingback: via My Favorite NumPy and SciPy References — Carl Gusler – SutoCom Solutions

Comments are closed.