Python for Data Analysis, 2e (1491957662)

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 computing
Learn basic and advanced features in NumPy (Numerical Python)
Get started with data analysis tools in the pandas library
Use flexible tools to load, clean, transform, merge, and reshape data
Create informative visualizations with matplotlib
Apply the pandas groupby facility to slice, dice, and summarize datasets
Analyze and manipulate regular and irregular time series data
Learn how to solve real-world data analysis problems with thorough, detailed examples

Product details

• Format Paperback | 522 pages
• Dimensions 180 x 233 x 29mm | 938g
• Publication date 03 Nov 2017
• Publisher O'Reilly Media, Inc, USA
• Publication City/Country Sebastopol, United States
• Language English
• Edition Statement 2nd ed.
• ISBN10 1491957662
• ISBN13 9781491957660
• Bestsellers rank 5,545

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