Python For Data Analysis: Data Wrangling With Pandas, Numpy, And Ipython
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PRODUCT OVERVIEW
- ISBN 9781491957660
- Categories [2022], BX, BXOS, NF REF, Non-Fiction, Non-Fiction: Personal Development, Reference
- Author(s) Wes McKinney
- Publisher O'Reilly Media, Inc, USA
- Pages 522
- Format Paperback
- Dimensions 18.0cm x 2.9cm x 23.3cm
- Weight 0.93 kg
product 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.
