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Sinopsis
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 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 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.
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 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
Table of Contents
- pandas Foundations
- Selection and Assignment
- Data Types
- The pandas I/O System
- Algorithms and How to Apply Them
- Visualization
- Reshaping DataFrames
- Group By
- Temporal Data Types and Algorithms
- General Usage and Performance Tips
- The pandas Ecosystem
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca de los autores
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
"Sobre este título" puede pertenecer a otra edición de este libro.
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Pandas Cookbook: Practical recipes for scientific computing, time series, and exploratory data analysis using Python
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Pandas Cookbook: Practical recipes for scientific computing, time series, and exploratory data analysis using Python
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Pandas Cookbook - Third Edition: Practical recipes for scientific computing, time series and exploratory data analysis using Python (Paperback or Softback)
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Packt Publishing 10/31/2024, 2024
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Pandas Cookbook: Practical recipes for scientific computing, time series and exploratory data analysis using Python
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ISBN 13: 9781836205876
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Pandas Cookbook - Third Edition : Practical recipes for scientific computing, time series, and exploratory data analysis using Python
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ISBN 10: 1836205872
ISBN 13: 9781836205876
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Taschenbuch. Condición: Neu. Neuware - 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 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 datasetBook Description:The 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 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 supplementWho 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 pandasTable of Contents Pandas Foundations Selection / Indexing Pandas data types Pandas Input/Output Algorithms and how to apply them Visualization Reshaping Dataframes Groupby Temporal Data Types and Algorithms Exploratory Data Analysis The pandas ecosystem. Nº de ref. del artículo: 9781836205876
Cantidad disponible: 2 disponibles
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Pandas Cookbook: Practical recipes for scientific computing, time series and exploratory data analysis using Python
Librería: Books Puddle, New York, NY, Estados Unidos de America
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