Pandas 1.x Cookbook E-Book

Matt Harrison

• Herausgeber: Packt Publishing
• Kategorie: Lebensstil
• Sprache: Englisch

Seitenzahl: 668

Veröffentlichungsjahr: 2020

Beschreibung

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.

This new updated and revised edition provides you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas. Some recipes focus on achieving a deeper understanding of basic principles, or comparing and contrasting two similar operations. Other recipes will dive deep into a particular dataset, uncovering new and unexpected insights along the way. Many advanced recipes combine several different features across the pandas library to generate results.

Leseprobe

Pandas 1.x Cookbook

Second Edition

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

Matt Harrison

Theodore Petrou

BIRMINGHAM - MUMBAI

Pandas 1.x Cookbook

Second Edition

Copyright © 2020 Packt Publishing

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Producer: Tushar Gupta

Acquisition Editor – Peer Reviews: Suresh Jain

Content Development Editor: Kate Blackham

Technical Editor: Gaurav Gavas

Project Editor: Kishor Rit

Proofreader: Safis Editing

Indexer: Pratik Shirodkar

Presentation Designer: Sandip Tadge

First published: October 2017

Second edition: February 2020

Production reference: 1260220

Published by Packt Publishing Ltd.

Livery Place

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Birmingham B3 2PB, UK.

ISBN 978-1-83921-310-6

www.packt.com

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Contributors

About the authors

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 best-selling Illustrated Guide to Python 3, and Learning the Pandas Library, as well as other books.

Theodore Petrou is a data scientist and the founder of Dunder Data, a professional educational company focusing on exploratory data analysis. He is also the head of Houston Data Science, a meetup group with more than 2,000 members that has the primary goal of getting local data enthusiasts together in the same room to practice data science. Before founding Dunder Data, Ted was a data scientist at Schlumberger, a large oil services company, where he spent the vast majority of his time exploring data.

Some of his projects included using targeted sentiment analysis to discover the root cause of part failure from engineer text, developing customized client/server dashboarding applications, and real-time web services to avoid the mispricing of sales items. Ted received his masters degree in statistics from Rice University, and used his analytical skills to play poker professionally and teach math before becoming a data scientist. Ted is a strong supporter of learning through practice and can often be found answering questions about pandas on Stack Overflow.

About the reviewer

Simon Hawkins holds a master's degree in aeronautical engineering from Imperial College London. During the early part of his career, he worked exclusively in the defense and nuclear sectors as a technology analyst focusing on various modelling capabilities and simulation techniques for high-integrity equipment. He then transitioned into the world of e-commerce and the focus shifted toward data analysis. Today, he is interested in all things data science and is a member of the pandas core development team.