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Description of  Pandas Cookbook: Practical recipes for scientific computing, time series, and exploratory data analysis using Python, 3rd ed. Edition

1836205872 pdf 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.Key FeaturesThis book targets features in pandas 2.x and beyondThis book targets features in pandas 2.x and beyondPractical, easy to implement recipes for quick solutions to common problems in data using pandasPractical, easy to implement recipes for quick solutions to common problems in data using pandasMaster the fundamentals of pandas to quickly begin exploring any datasetMaster the fundamentals of pandas to quickly begin exploring any datasetBook DescriptionThe pandas library is massive, and it's common for frequent users to be unaware of many of its more impressive features. The official pandas documentation, while thorough, does not contain many useful examples of how to piece together multiple commands as one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through situations that you are highly likely to encounter.With this latest edition unlock the full potential of 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. This cookbook covers everything from fundamental data manipulation tasks to advanced techniques for handling big data, visualization, and more. Each recipe is designed to address common real-world challenges, providing clear explanations and step-by-step instructions to guide you through the process.Explore cutting-edge topics such as idiomatic pandas coding, efficient handling of large datasets, and advanced data visualization techniques. Whether you're looking to sharpen or expand your skills, the 'Pandas Cookbook' is your essential companion for mastering data analysis and manipulation with pandas 2.x, and beyond.What you will learnThe pandas type system and how to best navigate itThe pandas type system and how to best navigate itImport/export DataFrames to/from common data formatsImport/export DataFrames to/from common data formatsData exploration in pandas through dozens of practice problemsData exploration in pandas through dozens of practice problemsGrouping, aggregation, transformation, reshaping, and filtering dataGrouping, aggregation, transformation, reshaping, and filtering dataMerge data from different sources through pandas SQL-like operationsMerge data from different sources through pandas SQL-like operationsLeverage the robust pandas time series functionality in advanced analysesLeverage the robust pandas time series functionality in advanced analysesScale pandas operations to get the most out of your systemScale pandas operations to get the most out of your systemThe large ecosystem that pandas can coordinate with and supplementThe large ecosystem that pandas can coordinate with and supplementWho 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 pandasTable of Contentspandas Foundationspandas FoundationsSelection and AssignmentSelection and AssignmentData TypesData TypesThe pandas I/O SystemThe pandas I/O SystemAlgorithms and How to Apply ThemAlgorithms and How to Apply ThemVisualizationVisualizationReshaping DataFramesReshaping DataFramesGroup ByGroup By Temporal Data Types and Algorithms Temporal Data Types and AlgorithmsGeneral Usage and Performance TipsGeneral Usage and Performance TipsThe pandas EcosystemThe pandas Ecosystem