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Pandas Cookbook
Pandas Cookbook

Pandas Cookbook: Practical recipes for scientific computing, time series, and exploratory data analysis using Python , Third Edition

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Profile Icon William Ayd Profile Icon Matthew Harrison
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zł59.99 zł161.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.9 (11 Ratings)
eBook Oct 2024 404 pages 3rd Edition
eBook
zł59.99 zł161.99
Paperback
zł201.99
Subscription
Free Trial
Arrow left icon
Profile Icon William Ayd Profile Icon Matthew Harrison
Arrow right icon
zł59.99 zł161.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.9 (11 Ratings)
eBook Oct 2024 404 pages 3rd Edition
eBook
zł59.99 zł161.99
Paperback
zł201.99
Subscription
Free Trial
eBook
zł59.99 zł161.99
Paperback
zł201.99
Subscription
Free Trial

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Pandas Cookbook

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Key benefits

  • 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

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.

Who is this book 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

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

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Oct 31, 2024
Length: 404 pages
Edition : 3rd
Language : English
ISBN-13 : 9781836205869
Category :
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What do you get with eBook?

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Product Details

Publication date : Oct 31, 2024
Length: 404 pages
Edition : 3rd
Language : English
ISBN-13 : 9781836205869
Category :
Languages :
Concepts :
Tools :

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Table of Contents

12 Chapters
pandas Foundations Chevron down icon Chevron up icon
Selection and Assignment Chevron down icon Chevron up icon
Data Types Chevron down icon Chevron up icon
The pandas I/O System Chevron down icon Chevron up icon
Algorithms and How to Apply Them Chevron down icon Chevron up icon
Visualization Chevron down icon Chevron up icon
Reshaping DataFrames Chevron down icon Chevron up icon
Group By Chevron down icon Chevron up icon
Temporal Data Types and Algorithms Chevron down icon Chevron up icon
General Usage and Performance Tips Chevron down icon Chevron up icon
The pandas Ecosystem Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.9
(11 Ratings)
5 star 90.9%
4 star 9.1%
3 star 0%
2 star 0%
1 star 0%
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JW Nov 02, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Pandas Cookbook third edition is an excellent reference for pandas users. Ihave been writing Python code and using pandas for more than 10 years, andstill managed to learn something every chapter reading this book. I found it tobe written in such a way that it allowed for reading cover to cover, but wouldalso be useful jumping straight to the sections you need when trying to use asa reference.The examples in the book remained short enough for readers to use themselvesbut still clear enough to demonstrate both the "how" and "why." This book Ifound approachable enough that I would even recommend it to people just gettingintroduced to pandas. Experienced pandas will likely appreciate this bookexplains not just the "how" to accomplish a task but also the "why."Covering topics like reading data in from different sources, various ways toselect data, how to perform aggregations and transformations well, working withcomplex types (such as datetimes), performance tuning, and visualizations, thisis a book that I will find myself reaching for regularly.
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Robert Nov 03, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The third edition of Cooking with Pandas was a welcome resource for learning about Pandas in Python. The book starts with the foundations and continues to build throughout. Like any good cookbook, there is a quick explanation of the material and a section on how to perform the task.The book is for anyone interested in Pandas, from beginners to well-seasoned developers. You can't go wrong by picking up this book. You will learn a lot!
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Souvik Roy Nov 02, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The book is perfect for beginners as there are tons of resources online, and this book tries to bring it all up in one place. I am new to Time Series, so this book will personally help me to know more about it and make me efficient in using the knowledge in the book in my real-world projects.
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Fernando Villanueva Dec 14, 2024
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Feefo Verified review Feefo
Rajavel S Feb 09, 2025
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Covers below topics with good examples and key information that can help speed up your work- Pandas Foundation (series, data frames, index, etc.,)- Selection and Assignments- Data Types- Pandas I/O Systems- Algorithms & How to apply them- Visualizations- Reshaping Dataframes- Group By- Temporal Data Types and Algorithms- General Usage and Performance Tips- Pandas ecosystemsIt also gives you with some other books recommendations for learning Panda at Ease.Hope you enjoy learning and utilizing this book! Read more
Amazon Verified review Amazon
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