Introduction to Computational Thinking - Thomas Mailund

Introduction to Computational Thinking (eBook)

Problem Solving, Algorithms, Data Structures, and More

(Autor)

eBook Download: PDF
2021 | 1st ed.
XIII, 657 Seiten
Apress (Verlag)
978-1-4842-7077-6 (ISBN)
Systemvoraussetzungen
79,99 inkl. MwSt
  • Download sofort lieferbar
  • Zahlungsarten anzeigen

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
  • 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.



Thomas Mailund, PhD is an associate professor in bioinformatics at Aarhus University, Denmark. He has a background in math and computer science, including experience programming and teaching in the C, Python and R programming languages. For the last decade, his main focus has been on genetics and evolutionary studies, particularly comparative genomics, speciation, and gene flow between emerging species.

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 LearnThink in a computational wayAcquire general techniques for problem solvingSeegeneral and concrete algorithmic techniquesProgram 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.
Erscheint lt. Verlag 16.7.2021
Zusatzinfo XIII, 657 p. 78 illus.
Sprache englisch
Themenwelt Mathematik / Informatik Informatik Programmiersprachen / -werkzeuge
Mathematik / Informatik Informatik Theorie / Studium
Mathematik / Informatik Mathematik Analysis
Schlagworte algorithms • Applications • Chains • computer vision • Data Science • Functions • Image Processing • lexers • Markov • parsers • programming • Python • queues • Recursion • Sets • Software • String • text analytics • text processing • Trees
ISBN-10 1-4842-7077-0 / 1484270770
ISBN-13 978-1-4842-7077-6 / 9781484270776
Haben Sie eine Frage zum Produkt?
PDFPDF (Wasserzeichen)
Größe: 10,7 MB

DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasser­zeichen und ist damit für Sie persona­lisiert. Bei einer missbräuch­lichen Weiter­gabe des eBooks an Dritte ist eine Rück­ver­folgung an die Quelle möglich.

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich
Das umfassende Handbuch

von Johannes Ernesti; Peter Kaiser

eBook Download (2023)
Rheinwerk Computing (Verlag)
31,43
Das Handbuch für Webentwickler

von Philip Ackermann

eBook Download (2023)
Rheinwerk Computing (Verlag)
34,93
Deterministische und randomisierte Algorithmen

von Volker Turau; Christoph Weyer

eBook Download (2024)
De Gruyter (Verlag)
64,95