Python for data analysis /

"Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Pyth...

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Bibliographic Details
Main Author: McKinney, Wes (Author)
Format: eBook
Published: Sebastopol, CA : O'Reilly Media, [2013]
Online Access:CONNECT
Table of Contents:
  • Preliminaries
  • Introductory examples
  • IPython : an interactive computing and development environment
  • NumPy basics : arrays and vectorized computation
  • Getting started with pandas
  • Data loading, storage, and file formats
  • Data wrangling : clean, transform, merge, reshape
  • Plotting and visualization
  • Data aggregation and group operations
  • Time series
  • Financial and economic data applications
  • Advanced NumPy
  • Appendix: Python language essentials.