Pandas Cookbook

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.
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Key Features
This book targets features in pandas 2.x and beyondPractical, easy to implement recipes for quick solutions to common problems in data using pandasMaster the fundamentals of pandas to quickly begin exploring any dataset
Book Description
Unlock 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.
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What you will learn
The pandas type system and how to best navigate itImport/export DataFrames to/from common data formatsData exploration in pandas through dozens of practice problemsGrouping, aggregation, transformation, reshaping, and filtering dataMerge data from different sources through pandas SQL-like operationsLeverage the robust pandas time series functionality in advanced analysesScale pandas operations to get the most out of your systemThe large ecosystem that pandas can coordinate with and supplement
Who this book is for
This 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