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Python for Data Analysis

By Wes McKinney

Python for Data Analysis

By Wes McKinney

Only 2 items left in stock
Description
Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.Use the IPython shell and Jupyter notebook for exploratory computingLearn basic and advanced features in NumPy (Numerical Python)Get started with data analysis tools in the pandas libraryUse flexible tools to load, clean, transform, merge, and reshape dataCreate informative visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsAnalyze and manipulate regular and irregular time series dataLearn how to solve real-world data analysis problems with thorough, detailed examples
Product details
Binding:
Paperback
Edition:
2
Number of Pages:
550
Release Date:
2017-10-20
Publication Date:
2017-11-30
Publisher:
O'Reilly Media
Languages:
Original: English
ISBN10:
1491957662
ISBN13:
9781491957660
Weight:
944 g
Height:
177 cm
Width:
233 cm
Thickness:
33 cm
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Very good
Almost no signs of wear. Book pages have no markings, accessories are intact and all other media are in good condition.
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