Table of Contents for
Python for Data Analysis, 2nd Edition

Version ebook / Retour

Cover image for bash Cookbook, 2nd Edition Python for Data Analysis, 2nd Edition by Wes McKinney Published by O'Reilly Media, Inc., 2017
  1. nav
  2. Cover
  3. Python for Data Analysis
  4. Python for Data Analysis
  5. Preface
  6. Preliminaries
  7. Python Language Basics, IPython, and Jupyter Notebooks
  8. Built-in Data Structures, Functions, and Files
  9. NumPy Basics: Arrays and Vectorized Computation
  10. Getting Started with pandas
  11. Data Loading, Storage, and File Formats
  12. Data Cleaning and Preparation
  13. Data Wrangling: Join, Combine, and Reshape
  14. Plotting and Visualization
  15. Data Aggregation and Group Operations
  16. Time Series
  17. Advanced pandas
  18. Introduction to Modeling Libraries in Python
  19. Data Analysis Examples
  20. Advanced NumPy
  21. More on the IPython System
  22. Index
  23. About the Author
  24. Colophon

About the Author

Wes McKinney is a New York-based software developer and entrepreneur. After finishing his undergraduate degree in mathematics at MIT in 2007, he went on to do quantitative finance work at AQR Capital Management in Greenwich, CT. Frustrated by cumbersome data analysis tools, he learned Python and started building what would later become the pandas project. He’s now an active member of the Python data community and is an advocate for the use of Python in data analysis, finance, and statistical computing applications.

Wes was later the cofounder and CEO of DataPad, whose technology assets and team were acquired by Cloudera in 2014. He has since become involved in big data technology, joining the Project Management Committees for the Apache Arrow and Apache Parquet projects in the Apache Software Foundation. In 2016, he joined Two Sigma Investments in New York City, where he continues working to make data analysis faster and easier through open source software.