Stock traders are interested in the most probable close price. Common sense says that this should be close to some kind of an average as the price dances around a mean, due to random fluctuations. The arithmetic mean and weighted average are ways to find the center of a distribution of values. However, neither are robust and both are sensitive to outliers. Outliers
are extreme values that are much bigger or smaller than the typical values in a dataset. Usually, outliers are caused by a rare phenomenon or a measurement error. For instance, if we have a close price value of a million dollars, this will influence the outcome of our calculations.
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