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Christian Mayer - Python One-Liners

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Python programmers will improve their coding skills with these useful one-liners Python One-Liners will show readers how to perform useful tasks with one line of Python code. Following a brief Python refresher, the book covers essential advanced topics like slicing, regular expressions, list comprehension, broadcasting, lambda functions, algorithms, logistic regression and more. Each chapter introduces a problem to solve, walks the reader through the skills necessary to solve that problem, then provides a concise one-liner Python solution with a detailed explanation.

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Contents in Detail
PYTHON ONE-LINERS

Write Concise, Eloquent Python Like a Professional

by Christian Mayer

Python One-Liners - image 2

San Francisco

PYTHON ONE-LINERS. Copyright 2020 by Christian Mayer.

All rights reserved. No part of this work may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or by any information storage or retrieval system, without the prior written permission of the copyright owner and the publisher.

ISBN-10: 1-7185-0050-5
ISBN-13: 978-1-7185-0050-1

Publisher: William Pollock
Production Editors: Janelle Ludowise and Kassie Andreadis
Cover Illustration: Rob Gale
Interior Design: Octopod Studios
Developmental Editors: Liz Chadwick and Alex Freed
Technical Reviewer: Daniel Zingaro
Copyeditor: Sharon Wilkey
Compositor: Danielle Foster
Proofreader: James Fraleigh
Indexer: JoAnne Burek

For information on distribution, translations, or bulk sales, please contact No Starch Press, Inc. directly:
No Starch Press, Inc.
245 8th Street, San Francisco, CA 94103
phone: 1.415.863.9900;
www.nostarch.com

The Library of Congress issued the following Cataloging-in-Publication Data for the first edition:

Names: Mayer, Christian (Computer Scientist), author.
Title: Python one-liners: write concise, eloquent Python like a professional / Christian Mayer.
Description: San Francisco : No Starch Press, Inc., 2020. | Includes index.
Identifiers: LCCN 2020001449 (print) | LCCN 2020001450 (ebook) | ISBN
9781718500501 | ISBN 9781718500518 (ebook)
Subjects: LCSH: Python (Computer program language)
Classification: LCC QA76.73.P98 M39 2020 (print) | LCC QA76.73.P98
(ebook) | DDC 005.13/3--dc23
LC record available at https://lccn.loc.gov/2020001449
LC ebook record available at https://lccn.loc.gov/2020001450

No Starch Press and the No Starch Press logo are registered trademarks of No Starch Press, Inc. Other product and company names mentioned herein may be the trademarks of their respective owners. Rather than use a trademark symbol with every occurrence of a trademarked name, we are using the names only in an editorial fashion and to the benefit of the trademark owner, with no intention of infringement of the trademark.

The information in this book is distributed on an As Is basis, without warranty. While every precaution has been taken in the preparation of this work, neither the author nor No Starch Press, Inc. shall have any liability to any person or entity with respect to any loss or damage caused or alleged to be caused directly or indirectly by the information contained in it.

To my wife Anna

About the Author

Christian Mayer is a doctor of computer science and the founder and maintainer of the popular Python site https://blog.finxter.com/ and its associated newsletter, which has 20,000 active subscribers and is still growing. His rapidly growing websites help tens of thousands of students improve their coding skills and online businesses. Christian is also the author of the Coffee Break Python series of self-published books.

About the Technical Reviewer

Dr. Daniel Zingaro is an assistant teaching professor of computer science and award-winning teacher at the University of Toronto. His main area of research is computer science education, where he studies how students learn (and sometimes dont learn) computer science material. He is the author of Algorithmic Thinking (forthcoming from No Starch Press).

BRIEF CONTENTS
CONTENTS IN DETAIL

1
PYTHON REFRESHER

2
PYTHON TRICKS

3
DATA SCIENCE

4
MACHINE LEARNING

5
REGULAR EXPRESSIONS

6
ALGORITHMS

ACKNOWLEDGMENTS

The world doesnt need more books; it needs better books. Im incredibly grateful to the people at No Starch Press for putting everything at work toward this philosophy. This book is the result of their invaluable advice, constructive feedback, and hundreds of hours of diligent work. My deep gratitude goes to the No Starch team for making the book-writing process such a fun experience.

In particular, Id like to thank Bill Pollock for inviting me to write this book and for providing me inspiration and deep insights into the publishing world.

Im very grateful for my brilliant content editor, Liz Chadwick, who skillfully, patiently, and eloquently transformed my rough drafts into a much more human-readable form. Its because of her excellent support that the book reached a level of clarity I would have never imagined when starting this project.

I want to express my appreciation to Alex Freed for her relentless focus on improving the text quality. It has been an honor to work together with such a talented editor.

Id like to thank my production editor, Janelle Ludowise, for polishing the book with a great love for every detail. Janelle put her skills to workin a positive and enthusiastic mannerto craft the final version of the book. Thanks, Janelle. Many thanks as well to Kassie Andreadis, who energetically pushed the book through to completion.

My distinctive appreciation goes to Professor Daniel Zingaro. He didnt shy away from investing much of his time, effort, and excellent computer science skills into eradicating inaccuracies from the book. He also contributed many wonderful suggestions that brought clarity to the book. Without his effort, the book would not only contain more bugs but also be harder to read. That said, any inaccuracies that remain are my own.

My doctorate supervisor, Professor Rothermel, contributed indirectly to this book by investing considerable time, skill, and effort into my computer science education. I owe him my deepest gratitude and appreciation.

Im forever grateful to my beautiful wife, Anna Altimira, who keeps listening to, encouraging, and supporting even my wildest ideas. Im also thankful to my kids, Amalie and Gabriel, for their inspiring curiosity and the happiness they bring to my life through thousands of smiles.

Lastly, the greatest source of motivation came from the active members of the Finxter community. First and foremost, Ive written this book for ambitious coderslike youwho want to advance their coding skills and solve practical problems in the real world. After long working days, it was grateful emails from Finxter members that encouraged me to write more sections of the book.

INTRODUCTION
With this book I want to help you become a Python expert To do this were - photo 3

With this book, I want to help you become a Python expert. To do this, were going to focus on Python one-liners: concise, useful programs packed into a single line of Python. Focusing on one-liners will help you read and write code faster and more concisely, and will improve your understanding of the language.

There are five more reasons I think learning Python one-liners will help you improve and are worth studying.

First, by improving your core Python skills, youll be able to overcome many of the small programming weaknesses that hold you back. Its hard to make progress without a profound understanding of the basics. Single lines of code are the basic building block of any program. Understanding these basic building blocks will help you master high-level complexity without feeling overwhelmed.

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