Pandas Cookbook: Practical recipes for scientific computing, time series, and exploratory data analysis...

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William Ayd Matthew Harrison

Pandas Cookbook

Practical recipes for scientific computing, time series, and exploratory data analysis using...

William Ayd, Matthew Harrison, Wes McKinney

$112.95 $90.51

Paperback

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English

Packt Publishing Limited
31 October 2024

Programming & scripting languages: general; Data capture & analysis; Data mining

From fundamental techniques to advanced strategies for handling big data, visualization, and more, this book equips you with skills to excel in real-world data analysis projects. Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader Free

Key Features

This book targets features in pandas 2.x and beyond Practical, easy to implement recipes for quick solutions to common problems in data using pandas Master the fundamentals of pandas to quickly begin exploring any dataset

Book DescriptionUnlock the full power of pandas 2.x with this hands-on cookbook, designed for Python developers, data analysts, and data scientists who need fast, efficient solutions for real-world data challenges. This book provides practical, ready-to-use recipes to streamline your workflow. With step-by-step guidance, you'll master data wrangling, visualization, performance optimization, and scalable data analysis using pandas’ most powerful features.

From importing and merging large datasets to advanced time series analysis and SQL-like operations, this cookbook equips you with the tools to analyze, manipulate, and visualize data like a pro. Learn how to boost efficiency, optimize memory usage, and seamlessly integrate pandas with NumPy, PyArrow, and databases. This book will help you transform raw data into actionable insights with ease.

What you will learn

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 Leverage 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

Who this book is forThis book is for Python developers, data scientists, engineers, and analysts. pandas is the ideal tool for manipulating structured data with Python and this book provides ample instruction and examples. Not only does it cover the basics required to be proficient, but it goes into the details of idiomatic pandas

By: William Ayd, Matthew Harrison
Foreword by: Wes McKinney
Imprint: Packt Publishing Limited
Country of Publication: United Kingdom
Edition: 3rd Revised edition
Dimensions: Height: 235mm, Width: 191mm,
ISBN: 9781836205876
ISBN 10: 1836205872
Pages: 404
Publication Date: 31 October 2024
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Active

Will Ayd is a core maintainer of the pandas project, serving in that role since 2018. For over a decade working as a consultant, Will has helped countless clients get the most value from their data using pandas and the open-source ecosystem surrounding it Matt Harrison has been using Python since 2000. He runs MetaSnake, which provides corporate training for Python and Data Science. He is the author of Machine Learning Pocket Reference, the bestselling Illustrated Guide to Python 3, and Learning the Pandas Library, among other books