Linear algebra tutorials are available from Khan Academy at https://www.khanacademy.org/math/linear-algebra
Pre-calculus tutorials from Khan Academy are available at https://www.khanacademy.org/math/precalculus
Probability and statistics tutorials from Khan Academy can be found at https://www.khanacademy.org/math/probability
Trigonometry tutorials from Khan Academy can be found at https://www.khanacademy.org/math/trigonometry
Access Alcumus by Art of Problem Solving(AoPS) at http://www.artofproblemsolving.com/alcumus
Find the Pre-Calculus Coursera course at https://www.coursera.org/course/precalculus
The Coursera course on linear algebra, which uses Python, can be found at https://www.coursera.org/course/matrix
An introduction to probability by Harvard University can be accessed at https://itunes.apple.com/us/course/statistics-110-probability/id502492375
The statistics wikibook is available at https://en.wikibooks.org/wiki/Statistics
The Electronic Statistics Textbook. Tulsa, OK: StatSoft. WEB can be found at: http://www.statsoft.com/Textbook
NumPy: Beginner's Guide
By :
NumPy: Beginner's Guide
By:
Overview of this book
Table of Contents (21 chapters)
NumPy Beginner's Guide Third Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
NumPy Quick Start
Beginning with NumPy Fundamentals
Getting Familiar with Commonly Used Functions
Convenience Functions for Your Convenience
Working with Matrices and ufuncs
Moving Further with NumPy Modules
Peeking into Special Routines
Assuring Quality with Testing
Plotting with matplotlib
When NumPy Is Not Enough – SciPy and Beyond
Playing with Pygame
Pop Quiz Answers
Additional Online Resources
NumPy Functions' References
Index
Customer Reviews