Articles liés à Strange Code: Esoteric Languages That Make Programming...

Strange Code: Esoteric Languages That Make Programming Fun Again - Couverture souple

Kneusel, Ronald T.

 
9781718502406: Strange Code: Esoteric Languages That Make Programming Fun Again
Couverture souple
ISBN 10 : 1718502400 ISBN 13 : 9781718502406
Editeur : No Starch Press, 2022

Synopsis

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.

    Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

    À propos de l'auteur

    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).

    Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

    Éditeur
    No Starch Press
    Date d'édition
    2022
    Langue
    anglais
    ISBN 10 
    1718502400
    ISBN 13 
    9781718502406
    Reliure
    Broché
    Nombre de pages
    496
    Coordonnées du fabricant
    BOOKS etc..
    cs@booksetc.co.uk

    BOOKS etc.
    Aldershot
    Royaume-Uni
    Personne responsable
    eucomplyOÜ
    hello@eucompliancepartner.com

    Pärnu mnt. 139b-14
    Tallinn
    11317
    Estonie