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    Introduction to Computational Thinking: Problem Solving, Algorithms, Data Structures, and More

    Introduction to Computational Thinking by Mailund, Thomas;

    Problem Solving, Algorithms, Data Structures, and More

      • GET 8% OFF

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      • Publisher's listprice EUR 80.24
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        34 037 Ft (32 416 Ft + 5% VAT)
      • Discount 8% (cc. 2 723 Ft off)
      • Discounted price 31 314 Ft (29 823 Ft + 5% VAT)

    34 037 Ft

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    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number 1st ed.
    • Publisher Apress
    • Date of Publication 17 July 2021
    • Number of Volumes 1 pieces, Book

    • ISBN 9781484270769
    • Binding Paperback
    • No. of pages657 pages
    • Size 254x178 mm
    • Weight 1259 g
    • Language English
    • Illustrations 78 Illustrations, black & white
    • 238

    Categories

    Short description:

    Learn approaches of computational thinking and the art of designing algorithms. Most of the algorithms you will see in this book are used in almost all software that runs on your computer.

    Learning how to program can be very rewarding. It is a special feeling to seeing a computer translate your thoughts into actions and see it solve your problems for you. To get to that point, however, you must learn to think about computations in a new way?you must learn computational thinking.

    This book begins by discussing models of the world and how to formalize problems. This leads onto a definition of computational thinking and putting computational thinking in a broader context. The practical coding in the book is carried out in Python; you?ll get an introduction to Python programming, including how to set up your development environment.

    You will:

    • Think in a computational way
    • Acquire general techniques for problem solving
    • See general and concretealgorithmic techniques
    • Program solutions that are both computationally efficient and maintainable

    More

    Long description:

    Learn approaches of computational thinking and the art of designing algorithms. Most of the algorithms you will see in this book are used in almost all software that runs on your computer.



    Learning how to program can be very rewarding. It is a special feeling to seeing a computer translate your thoughts into actions and see it solve your problems for you. To get to that point, however, you must learn to think about computations in a new way?you must learn computational thinking.

    This book begins by discussing models of the world and how to formalize problems. This leads onto a definition of computational thinking and putting computational thinking in a broader context. The practical coding in the book is carried out in Python; you?ll get an introduction to Python programming, including how to set up your development environment.



    What You Will Learn

    • Think in a computational way
    • Acquire general techniques for problem solving
    • Seegeneral and concrete algorithmic techniques
    • Program solutions that are both computationally efficient and maintainable

    Who This Book Is For 



    Those new to programming and computer science who are interested in learning how to program algorithms and working with other computational aspects of programming.

    More

    Table of Contents:

    1: Introduction.- 2: Introducing Python Programming.- 3: Introduction to Algorithms.- 4: Algorithmic Efficiency.- 5: Searching and Sorting.- 6: Functions.- 7: Inner Functions.- 8: Recursion.- 9: Divide and Conquer and Dynamic Programming.- 10: Hidden Markov Models.- 11: Data Structures, Objects and Classes.- 12: Class Hierarchies and Inheritance.- 13: Sequences.- 14: Sets.- 15: Red-black Search Trees.- 16: Stacks and Queues.- 17: Priority Queues.- 18: Conclusions.

    More
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