Introduction 1.install numpy using pip 2.Creating a Vector 3.Reshape Arrays 4.calculate Deteminant 5.creating a matrix 6.Rank of matrix 7.transposing a vector or matrix 8.creating spare matrix 9.SELECTING ELEMENTS 10.Describing a matrix 11.Applying operation to elements 12.finding min and max values 13.calculate the average ,varience and standard diversion 14.Generating random values 15.inverting a matrix 16.multiply matrices 17.addition of matrices 18.subtraction of matrices 19.calculate Dot product 20.Eigenvalues and Eigenvectors 21.calculating the trace of matrix
-
Notifications
You must be signed in to change notification settings - Fork 0
A complete tutorial of numpy
License
Navp788/numpy_tutorial_complete
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
A complete tutorial of numpy
Topics
Resources
License
Code of conduct
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published