Fine in fine dust jacket. Audience: General/trade. Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third 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, Num Py, and Jupyter in the process. Written by Wes Mc Kinney, 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 Git Hub. Use the Jupyter notebook and IPython shell for exploratory computing Learn basic and advanced features in Num Py 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
Price: $33.99 from Alibris
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| Alibris | $33.99 | Visit Store |
Good Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Good Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Discoloration on cover or page edges. The book has been read but is in good condition. There is minor to moderate wear to the outside, including scuffs, corner dings, & edge curls. It stand/lays flat. The majority of pages are undamaged with minimal creasing....
