Lauwens Ben - Think Julia: how to think like a computer scientist
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- Book:Think Julia: how to think like a computer scientist
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- Year:2019
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Designed from the beginning for high performance, Julia is a general-purpose language ideal for not only numerical analysis and computational science but also web programming and scripting. Through exercises in each chapter, youll try out programming concepts as you learn them. Think Julia is perfect for students at the high school or college level as well as self-learners and professionals who need to learn programming basics.
Start with the basics, including language syntax and semantics
Get a clear definition of each programming concept
Learn about values, variables, statements, functions, and data structures in a logical progression
Discover how to work with files and databases
Understand types, methods, and multiple dispatch
Use debugging techniques to fix syntax, runtime, and semantic errors
Explore interface design and data structures through case studies
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by Ben Lauwens and Allen B. Downey
Copyright 2019 Ben Lauwens and Allen Downey. All rights reserved.
Printed in the United States of America.
Published by OReilly Media, Inc. , 1005 Gravenstein Highway North, Sebastopol, CA 95472.
OReilly books may be purchased for educational, business, or sales promotional use. Online editions are also available for most titles ( http://oreilly.com ). For more information, contact our corporate/institutional sales department: 800-998-9938 or corporate@oreilly.com.
- Editors: Jonathan Hassell and Melissa Potter
- Production Editor: Christopher Faucher
- Copyeditor: Rachel Head
- Proofreader: Christina Edwards
- Indexer: Angela Howard
- Interior Designer: David Futato
- Cover Designer: Karen Montgomery
- Illustrator: Rebecca Demarest
- April 2019: First Edition
- 2019-04-05: First Release
See http://oreilly.com/catalog/errata.csp?isbn=9781492045038for release details.
The OReilly logo is a registered trademark of OReilly Media, Inc. Think Julia, the cover image, and related trade dress are trademarks of OReilly Media, Inc.
The views expressed in this work are those of the authors, and do not represent the publishers views. While the publisher and the authors have used good faith efforts to ensure that the information and instructions contained in this work are accurate, the publisher and the authors disclaim all responsibility for errors or omissions, including without limitation responsibility for damages resulting from the use of or reliance on this work. Use of the information and instructions contained in this work is at your own risk. If any code samples or other technology this work contains or describes is subject to open source licenses or the intellectual property rights of others, it is your responsibility to ensure that your use thereof complies with such licenses and/or rights.
978-1-492-04503-8
[GP]
For Emeline, Arnaud, and Tibo.
In January 2018 I started the preparation of a programming course targeting students without programming experience. I wanted to use Julia, but I found that there existed no book with the purpose of learning to program with Julia as the first programming language. There are wonderful tutorials that explain Julias key concepts, but none of them pay sufficient attention to learning how to think like a programmer.
I knew the book Think Pythonby Allen Downey, which contains all the key ingredients to learn to program properly. However, this book was based on the Python programming language. My first draft of the course notes was a melting pot of all kinds of reference works, but the longer I worked on it, the more the content started to resemble the chapters of Think Python. Soon, the idea of developing my course notes as a port of that book to Julia came to fruition.
All the material was available as Jupyter notebooks in a GitHub repository. After I posted a message on the Julia Discourse site about the progress of my course, the feedback was overwhelming. A book about basic programming concepts with Julia as the first programming language was apparently a missing link in the Julia universe. I contacted Allen to ask if I could start an official port of Think Pythonto Julia, and his answer was immediate: Go for it! He put me in touch with his editor at OReilly Media, and a year later I was putting the finishing touches on this book.
It was a bumpy ride. In August 2018 Julia v1.0 was released, and like all my fellow Julia programmers I had to do a migration of the code. All the examples in the book were tested during the conversion of the source files to OReilly-compatible AsciiDoc files.
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