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Haythem Balti - Job Ready Python

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Table of Contents List of Tables Chapter 4 Chapter 5 Chapter 6 Chapter - photo 1
Table of Contents
List of Tables
  1. Chapter 4
  2. Chapter 5
  3. Chapter 6
  4. Chapter 8
  5. Chapter 10
List of Illustrations
  1. Chapter 1
  2. Chapter 3
  3. Chapter 5
  4. Chapter 7
  5. Chapter 8
  6. Chapter 15
  7. Appendix A
  8. Appendix C
  9. Appendix D
  10. Appendix E
  11. Appendix F
Guide
Pages
JOB READY PYTHON

HAYTHEM BALTI
CO-AUTHORED BY KIMBERLY A. WEISS

Copyright 2022 by John Wiley Sons Inc All rights reserved Underlying - photo 2

Copyright 2022 by John Wiley & Sons, Inc. All rights reserved.

Underlying content and curriculum Wiley edu, LLC

Published by John Wiley & Sons, Inc., Hoboken, New Jersey.

Published simultaneously in Canada.

978-1-119-81738-3

978-1-119-81740-6 (ebk.)

978-1-119-81739-0 (ebk.)

No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning, or otherwise, except as permitted under Section 107 or 108 of the 1976 United States Copyright Act, without either the prior written permission of the Publisher, or authorization through payment of the appropriate per-copy fee to the Copyright Clearance Center, Inc., 222 Rosewood Drive, Danvers, MA 01923, (978) 750-8400, fax (978) 750-4470, or on the web at www.copyright.com. Requests to the Publisher for permission should be addressed to the Permissions Department, John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, (201) 748-6011, fax (201) 748-6008, or online at http://www.wiley.com/go/permission.

Limit of Liability/Disclaimer of Warranty: The publisher and the author make no representations or warranties with respect to the accuracy or completeness of the contents of this work and specifically disclaim all warranties, including without limitation warranties of fitness for a particular purpose. No warranty may be created or extended by sales or promotional materials. The advice and strategies contained herein may not be suitable for every situation. This work is sold with the understanding that the publisher is not engaged in rendering legal, accounting, or other professional services. If professional assistance is required, the services of a competent professional person should be sought. Neither the publisher nor the author shall be liable for damages arising herefrom. The fact that an organization or Website is referred to in this work as a citation and/or a potential source of further information does not mean that the author or the publisher endorses the information the organization or Website may provide or recommendations it may make. Further, readers should be aware the Internet Websites listed in this work may have changed or disappeared between when this work was written and when it is read.

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Wiley also publishes its books in a variety of electronic formats. Some content that appears in print may not be available in electronic formats. For more information about Wiley products, visit our web site at www.wiley.com.

Library of Congress Control Number: 2021943951

Trademarks: WILEY and the Wiley logo are trademarks or registered trademarks of John Wiley & Sons, Inc. and/or its affiliates, in the United States and other countries, and may not be used without written permission. Python is a registered trademark of Python Software Foundation. All other trademarks are the property of their respective owners. John Wiley & Sons, Inc. is not associated with any product or vendor mentioned in this book.

Cover image: Photo Roman Samborskyi/Shutterstock; Triangles Raevsky Lab/Shutterstock

Cover design: Peter Denney

About the Authors

Haythem Balti is the dean of education solutions at the mthree Global Academy and director of curriculum at Software Guild. Haythem created courses used by thousands of mthree and Software Guild graduates. He earned his doctorate in computer engineering and computer science from The University of Louisville.

Kimberly A. Weiss is a senior instructional designer at the mthree Global Academy and a veteran course developer, specializing in computer science courses since 2002. She was an assistant professor in computer science for over ten years before deciding to focus exclusively on course design. She has worked with multiple universities and in corporate training settings to develop interactive instructional content appropriate for the target learners and course goals.

About the Technical Writer

Bradley Jones is the owner of Lots of Software, LLC. He has programmed in a variety of languages and tools ranging from C to Unity on platforms ranging from Windows to mobile and includes the web as well as a little bit of virtual reality for fun. In addition to programming, he has authored books on C, C++, C#, Windows, the web, and many more technical topics and a few nontechnical topics. Bradley has been recognized in the industry as a community influencer and has been recognized as a Microsoft MVP, a CODiE Judge, an international technology speaker, a bestselling technical author, and more.

About the Technical Editor

Doug Holland is a software engineer at Microsoft with over twenty years of experience designing and developing software. He really enjoys applying the art and science of software engineering to real-world problems and holds a master's degree from Oxford University in software engineering.

Acknowledgments

Although Kim and Haythem are the main authors of this book, this book would not have been possible without the hard work of the content development and instruction teams at the Software Guild and mthree.

Introduction

With the proliferation of data in the past decade, Python emerged as a viable language for data processing and analysis. Its simple syntax and powerful toolbox and libraries make Python the standard language for data.

There are many reasons why learning Python is great choice:

  • As a generalpurpose language, Python runs on all platforms and operating systems, which makes Python programs and applications very portable.
  • Python is widely used around the globe and benefits from a huge online community that is highly active. Python is number 3 at the time of this writing in the Tiobe index.
  • Python is the standard language for data analysis, data engineering, and data science. If you want to become a data developer, learning Python is a must as it provides many builtin and external libraries that allow you to develop machine learning models or ETL processes, or analyze some data.

NOTE You can find the Tiobe index for Python at https://www.tiobe.com/tiobe-index/.


A Python Course within a Book

This book contains a fullfledged Python course that is used by the mthree Global Academy and the Software Guild to train our alumni in Python and other topics, such as data analysis and data science.

Features to Make You Job Ready

Job Ready Python provides an overview of the Python language and teaches how to leverage the basics of Python to create Python programs that can process and analyze data.

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