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Ashish Kumar - Mastering Pandas

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Mastering pandas Second Edition A complete guide to pandas from - photo 1
Mastering pandas
Second Edition
A complete guide to pandas, from installation to advanced data analysis techniques
Ashish Kumar

BIRMINGHAM - MUMBAI Mastering pandasSecond Edition Copyright 2019 Packt - photo 2

BIRMINGHAM - MUMBAI
Mastering pandasSecond Edition

Copyright 2019 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

Commissioning Editor: Sunith Shetty
Acquisition Editor: Amey Varangaonkar
Content Development Editor: Roshan Kumar
Senior Editor: Ayaan Hoda
Technical Editor: Utkarsha S. Kadam
Copy Editor: Safis Editing
Project Coordinator: Kirti Pisat
Proofreader: Safis Editing
Indexer: Tejal Daruwale Soni
Production Designer: Deepika Naik

First published: June 2015
Second edition: October 2019

Production reference: 1251019

Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham
B3 2PB, UK.

ISBN 978-1-78934-323-6

www.packt.com

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Contributors
About the author

Ashish Kumar is a seasoned data science professional, a publisher author and a thought leader in the field of data science and machine learning. An IIT Madras graduate and a Young India Fellow, he has around 7 years of experience in implementing and deploying data science and machine learning solutions for challenging industry problems in both hands-on and leadership roles. Natural Language Procession, IoT Analytics, R Shiny product development, Ensemble ML methods etc. are his core areas of expertise. He is fluent in Python and R and teaches a popular ML course at Simplilearn. When not crunching data, Ashish sneaks pff to the next hip beach around and enjoys the company of his Kindle. He also trains and mentors
data science aspirants and fledling start-ups.

I owe all of my career accomplishments to my beloved grandfather. I thank my mom, my siblings Sanjeev, Ritesh, Rahul, Sandeep, Ritesh, and my sister-in-law Anamika for all they have done for me.
My long-term friends Pranav, Ajit, Vidya, Adarsh, Ashweetha, and Simer have been my support system.
I am indebted to Ram Sukumar and Zeena Johar for their guidance. I want to thank Ramya S, S Abdullah, Sandhya S, and Kirthi T for their help on this book.
About the reviewer

Jamshaid Sohail is a data scientist who is highly passionate about data science, machine learning, deep learning, big data, and other related fields. He spends his free time learning more about the data science field and learning how to use its emerging tools and technologies. He is always looking for new ways to share his knowledge with other people and add value to other people's lives. He has also attended Cambridge University for a summer course in computer science, where he studied under great professors; he would like to impart this knowledge to others. He has extensive experience as a data scientist in a US-based company. In short, he would be extremely delighted to educate and share knowledge with other people.

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Preface

pandas is a popular Python library used by data scientists and analysts worldwide to manipulate and analyze their data. This book presents useful data manipulation techniques in pandas for performing complex data analysis in various domains. It provides features and capabilities that make data analysis much easier and faster than with many other popular languages, such as Java, C, C++, and Ruby.

Who this book is for

This book is for data scientists, analysts, and Python developers who wish to explore advanced data analysis and scientific computing techniques using pandas. Some fundamental understanding of Python programming and familiarity with basic data analysis concepts is all you need to get started with this book.

What this book covers

, Introduction to pandas and Data Analysis, will introduce pandas and explain where it fits in the data analysis pipeline. We will also look into some of the popular applications of pandas and how Python and pandas can be used for data analysis.

, Installation of pandas and Supporting Software, will deal with the installation of Python (if necessary), the pandas library, and all necessary dependencies for the Windows, macOS X, and Linux platforms. We will also look into the command-line tricks and options and settings for pandas as well.

, Using NumPy and Data Structures with pandas, will give a quick tour of the power of NumPy and provide a glimpse of how it makes life easier when working with pandas. We will also be implementing a neural network with NumPy and exploring some of the practical applications of multi-dimensional arrays.

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