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Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Item #: 2049198

Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

Item #: 2049198

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MXN 1200

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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 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
Publisher O'Reilly Media
Publication date November 27, 2012
Edition 1st
Language English
Print length 463 pages
ISBN-10 1449319793
ISBN-13 978-1449319793
Item Weight 1.76 pounds (800 grams)
Dimensions 7 x 0.9 x 9.19 inches (17.8 x 2.3 x 23.3 cm)

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