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Autor(en): 
  • Thomas Mailund
  • Introduction to Computational Thinking: Problem Solving, Algorithms, Data Structures, and More 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 14-24 Tagen versandfertig
    Veröffentlichung:  Juli 2021  
    Genre:  EDV / Informatik 
     
    Computers - General Information / COMPUTERS / Computer Science / COMPUTERS / Programming / Algorithms / COMPUTERS / Programming Languages / Python / Informatik / Programmier- und Skriptsprachen, allgemein
    ISBN:  9781484270769 
    EAN-Code: 
    9781484270769 
    Verlag:  Apress 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 254 mm / B 178 mm / D 35 mm 
    Gewicht:  1243 gr 
    Seiten:  657 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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; yoüll get an introduction to Python programming, including how to set up your development environment. What You Will LearnThink in a computational way Acquire general techniques for problem solving See general 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.

      



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