Python for Data Analysis

Python for Data Analysis

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by Wes McKinney
     
 

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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 language and libraries you’ll need to effectively solve a

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Overview

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 language and libraries you’ll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.

Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It’s ideal for analysts new to Python and for Python programmers new to scientific computing.

  • Use the IPython interactive shell as your primary development environment
  • Learn basic and advanced NumPy (Numerical Python) features
  • Get started with data analysis tools in the pandas library
  • Use high-performance tools to load, clean, transform, merge, and reshape data
  • Create scatter plots and static or interactive visualizations with matplotlib
  • Apply the pandas groupby facility to slice, dice, and summarize datasets
  • Measure data by points in time, whether it’s specific instances, fixed periods, or intervals
  • Learn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples

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Product Details

ISBN-13:
9781449319793
Publisher:
O'Reilly Media, Incorporated
Publication date:
10/29/2012
Pages:
466
Sales rank:
96,099
Product dimensions:
7.00(w) x 9.10(h) x 0.90(d)

Meet the Author

Wes McKinney is the main author of pandas, the popular open sourcePython library for data analysis. Wes is an active speaker andparticipant in the Python and open source communities. He worked as aquantitative analyst at AQR Capital Management and Python consultantbefore founding DataPad, a data analytics company, in 2013. Hegraduated from MIT with an S.B. in Mathematics.

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Python for Data Analysis 2.7 out of 5 based on 0 ratings. 3 reviews.
Anonymous More than 1 year ago
Very good book detailing the use of python in data analysis. Covers all of the necessary third-party libraries and tools including iPython, numpy, and pandas. This book also covers many data analysis techniques. Highly recommended.
Anonymous More than 1 year ago
Anonymous More than 1 year ago