About this course
Learn about NumPy, the most useful Python library for data science and numerical computing.
Take advantage of the power of NumPy
37sWhat you should know
2m 28sWhy should you use NumPy?
2m 8sPython lists vs. NumPy arrays
3m 19sJupyter Notebook basics
3m 29sArray types and conversions between types
4m 25sMultidimensional arrays
3m 7sCreating arrays from lists and other Python structures
3m 36sIntrinsic NumPy array creation
5m 33sCreating arrays filled with constant values
4m 41sFinding the shape and size of an array
2m 50sAdding, removing, and sorting elements
3m 23sCopies and views
4m 32sReshaping arrays
5m 37sIndexing and slicing
5m 43sJoining and splitting arrays
6m 47sArithmetic operations and functions
4m 46sBroadcasting
4m 21sAggregate functions
4m 3sHow to get unique items and counts
3m 20sTranspose like operations
3m 49sReversing an array
2m 45sNext steps
49s