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"Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython" by Wes McKinney is a comprehensive guide for data analysts looking to learn how to effectively manipulate, process, clean, and crunch datasets in Python. This book covers NumPy, IPython, and Jupyter, providing case studies and instructions for solving a wide range of data analysis problems. focus on modern data science tools in Python, this textbook is i those looking to deepen their understanding of data processing and analysis techniques. Illustrated with data files and code
When you click on links to various merchants on this site and make a purchase, this can result in this site earning a commission. Affiliate programs and affiliations include, but are not limited to, the eBay Partner Network.