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Strange Code:Esoteric Languages That Make Programming Fun again
[Paperback - 2022]
ronald t. kneusel
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Availability in 4-6 weeks on receipt of order
List Price: $49.99
Our Price: Rs.12045 Rs.10238
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Category: Computer
Sub-category: Programming
Additional Category: Computer Science
Publisher: No Starch Press | ISBN: 9781718502406 | Pages: 496
Shipping Weight: .936 | Dimensions: 7.06 x 1.17 x 9.25 inches

Description

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.

    About the Author

    Ronald T. Kneusel is a data scientist who builds deep-learning (AI) systems, as well as extensive experience with medical imaging and the development of medical devices. He earned a PhD in machine learning from the University of Colorado, Boulder, has nearly 20 years of machine learning experience in industry, and is presently pursuing deep-learning projects with L3Harris Technologies, Inc. Kneusel is also the author of Random Numbers and Computers (Springer 2018), in addition to Math for Deep Learning, Practical Deep Learning, and Strange Code—all published by No Starch Press.

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