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Understanding Computation (From Simple Machines to Impossible Programs)

List Price: $39.99
SKU:
9781449329273
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  • Product Details

    Author:
    Tom Stuart
    Format:
    Paperback
    Pages:
    329
    Publisher:
    O'Reilly Media (July 2, 2013)
    Language:
    English
    ISBN-13:
    9781449329273
    ISBN-10:
    1449329276
    Dimensions:
    7" x 9.19"
    File:
    TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20251022163324-20251022.xml
    Folder:
    TWO RIVERS
    List Price:
    $39.99
    As low as:
    $34.39
    Publisher Identifier:
    P-PER
    Discount Code:
    C
    Case Pack:
    12
    Country of Origin:
    United States
    Pub Discount:
    60
    Weight:
    18.72oz
    Imprint:
    O'Reilly Media
  • Overview

    Finally, you can learn computation theory and programming language design in an engaging, practical way. Understanding Computation explains theoretical computer science in a context you’ll recognize, helping you appreciate why these ideas matter and how they can inform your day-to-day programming.

    Rather than use mathematical notation or an unfamiliar academic programming language like Haskell or Lisp, this book uses Ruby in a reductionist manner to present formal semantics, automata theory, and functional programming with the lambda calculus. It’s ideal for programmers versed in modern languages, with little or no formal training in computer science.

    • Understand fundamental computing concepts, such as Turing completeness in languages
    • Discover how programs use dynamic semantics to communicate ideas to machines
    • Explore what a computer can do when reduced to its bare essentials
    • Learn how universal Turing machines led to today’s general-purpose computers
    • Perform complex calculations, using simple languages and cellular automata
    • Determine which programming language features are essential for computation
    • Examine how halting and self-referencing make some computing problems unsolvable
    • Analyze programs by using abstract interpretation and type systems