Big Data Analysis with Python 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 authors, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be 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. Authors: Ivan Marin, Ankit Shukla and Sarang VK Technical Reviewer: Namachivayam D Managing Editor: Vishal Kamal Mewada Acquisitions Editor: Kunal Sawant Production Editor: Nitesh Thakur Editorial Board: David Barnes, Ewan Buckingham, Simon Cox, Manasa Kumar, Shivangi Chatterji, Alex Mazonowicz, Douglas Paterson, Dominic Pereira, Shiny Poojary, Saman Siddiqui, Erol Staveley, Ankita Thakur and Mohita Vyas First Published: April 2019 Production Reference: 1080419 ISBN: 978-1-78995-528-6 Published by Packt Publishing Ltd. Livery Place, 35 Livery Street Birmingham B3 2PB, UK Table of Contents Preface Chapter 1: ThePython Data Science Stack Introduction PythonLibraries and Packages IPython: A PowerfulInteractive Shell Exercise 1:Interacting with thePython ShellUsing the IPython Commands The JupyterNotebook Exercise 2: Getting Started with the JupyterNotebook IPython or Jupyter? Activity 1:IPython and Jupyter NumPy SciPy Matplotlib Pandas Using Pandas Reading Data Exercise 3: Reading Data with Pandas Data Manipulation Selection and Filtering