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Strange Code: Esoteric Languages That Make Programming Fun Again

Strange Code: Esoteric Languages That Make Programming Fun Again

by Ronald T. Kneusel
Strange Code: Esoteric Languages That Make Programming Fun Again

Strange Code: Esoteric Languages That Make Programming Fun Again

by Ronald T. Kneusel


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Strengthen your overall coding skills by exploring the wonderful, wild, and often weird world of esoteric languages (esolangs).

Strange Code starts with a dive into the underlying history of programming, covering the early computer-science concepts, like Turing machines and Turing completeness, that led to the languages we use today. It then explores the realm of “atypical” programming languages, introducing you to the out-of-the-box thinking that comes from these unusual approaches to coding.

Later chapters address the even more unusual esolangs, nearly all of which are like nothing you’ve ever seen. Finally, author Ron Kneusel helps you develop and use two entirely new programming languages. You may not apply these languages in your day job, but this one-of-a-kind book will motivate you to think differently about what it means to express thought through code, while discovering the far-flung boundaries of programming.

You’ll learn:
  • How to program with pictures using Piet
  • How to write two-dimensional programs in Befunge
  • How to implement machine-learning algorithms using the text pattern matching language SNOBOL
  • How to decipher Brainfuck code like [->-[>+>>]>[[-<+>]+>+>>]<<<<<]
  • How to design and create two original programming languages

  • Learning to think in these languages will make you a better, more confident programmer.

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    Product Details

    ISBN-13: 9781718502406
    Publisher: No Starch Press
    Publication date: 09/27/2022
    Pages: 496
    Sales rank: 1,077,043
    Product dimensions: 7.06(w) x 9.25(h) x 1.17(d)

    About the Author

    A programming language enthusiast, Ronald T. Kneusel’s experience with programming languages began circa 1980 when he first encountered an Apple II computer. Decades later, he completed a PhD in machine learning from the University of Colorado, Boulder, and now works in the industry developing deep learning systems. He is the author of Practical Deep Learning: A Python-Based Introduction (No Starch Press), Math for Deep Learning (No Starch Press), Numbers and Computers (Springer), and Random Numbers and Computers (Springer).

    Table of Contents

    Part I: On Programming Languages
    Chapter 1:
    A Cherry-Picked Review of Programming Languages
    Chapter 2: The Essentials of Programming Languages
    Chapter 3: Turing Machines and Turing Completeness
    Part II: Atypical Programming Languages
    Chapter 4:
    Chapter 5: SNOBOL
    Chapter 6: CLIPS
    Part III: Esoteric Programming Languages
    Chapter 7:
    The ABCs of ABCs
    Chapter 8: FRACTRAN
    Chapter 9: Piet
    Chapter 10: Brainfuck
    Chapter 11: Befunge
    Part IV: Homegrown Esolangs
    Chapter 12:
    Chapter 13: Using Filska
    Chapter 14: Firefly
    Chapter 15: Using Firefly
    Chapter 16: Going Further
    Appendix A: Genetic Programming with Firefly

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