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Python for Data Analysis, 2e - Data Wrangling with Pandas, NumPy, and IPython (Paperback, 2nd New edition)
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Python for Data Analysis, 2e - Data Wrangling with Pandas, NumPy, and IPython (Paperback, 2nd New edition)
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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
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