This book guides the reader, as if looking over the shoulder of an expert, through situations that are likely to arise in data analysis projects. Will Ayd and Matt Harrison cover topics ranging from fundamental data manipulation tasks to advanced techniques for handling big data, and visualization. This latest edition covers pandas 2.x onwards. Whether you're a beginner or an experienced data analyst, this book offers a wealth of practical recipes to help you excel in your data analysis projects.

<ASIN:1836205872 >

Author: Will Ayd and Matt Harrison
Publisher: Packt
Date: October 2024
Pages: 404
ISBN: 978-836205876
Print: 1836205872
Kindle: B0D5YJ636K
Audience: Python developers interested in data analysis
Level: Intermediate
Category: Python

Topics include:

• The pandas type system and how to best navigate it
• Import/export DataFrames to/from common data formats
• Data exploration in pandas through dozens of practice problems
• Grouping, aggregation, transformation, reshaping, and filtering data
• Merge data from different sources through pandas SQL-like operations
• Use the robust pandas time series functionality in advanced analyses
• Scale pandas operations to get the most out of your system
• The large ecosystem that pandas can coordinate with and supplement

For recommendations of Python books see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section.

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