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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 Python lan...

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Bibliographic Details
Main Author: Wes McKinney
Format: Printed Book
Published: Beijing O'Reilly 2013
Edition:1
Subjects:
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
  • Advancded NumPy.