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
Language:English
Published: Sebastopol, CA : O'Reilly Media, [2013]
Subjects:
Online Access:CONNECT
CONNECT
Description
Summary:"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"--Provided by publisher.
Item Description:Includes index.
Physical Description:1 online resource (xiii, 452 pages) : illustrations
ISBN:9781449323615
1449323618
9781449323622
1449323626