Table of Contents for
Foundations for Analytics with Python

Version ebook / Retour

Cover image for bash Cookbook, 2nd Edition Foundations for Analytics with Python by Clinton W. Brownley Published by O'Reilly Media, Inc., 2016
  1. Cover
  2. nav
  3. Foundations for Analyticswith Python
  4. Dedication
  5. Foundations for Analytics with Python
  6. Preface
  7. 1. Python Basics
  8. 2. Comma-Separated Values (CSV) Files
  9. 3. Excel Files
  10. 4. Databases
  11. 5. Applications
  12. 6. Figures and Plots
  13. 7. Descriptive Statistics and Modeling
  14. 8. Scheduling Scripts to Run Automatically
  15. 9. Where to Go from Here
  16. A. Download Instructions
  17. B. Answers to Exercises
  18. Bibliography
  19. Index
  20. About the Author
  21. Colophon

Bibliography

Gelman, Andrew and Jennifer Hill. Data Analysis Using Regression and Multilevel/Hierarchical Models. New York: Cambridge University Press, 2007. Print.

Harms, Daryl and Kenneth McDonald. The Quick Python Book. Greenwich, CT: Manning Publications, 2000. Print.

McKinney, Wes. Python for Data Analysis. Sebastopol, CA: O’Reilly Media, 2012. Print.

Miller, Brad and David Ranum. Problem Solving with Algorithms and Data Structures using Python. Auckland: Runstone Interactive Python, 2005. Online.