Cantitate/Preț
Produs

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

Autor Thomas Mailund
en Limba Engleză Paperback – 17 iul 2021
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.
Citește tot Restrânge

Preț: 38757 lei

Preț vechi: 48446 lei
-20% Nou

Puncte Express: 581

Preț estimativ în valută:
7420 7724$ 6108£

Carte disponibilă

Livrare economică 10-24 ianuarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9781484270769
ISBN-10: 1484270762
Pagini: 690
Ilustrații: XIII, 657 p. 78 illus.
Dimensiuni: 178 x 254 mm
Greutate: 1.15 kg
Ediția:1st ed.
Editura: Apress
Colecția Apress
Locul publicării:Berkeley, CA, United States

Cuprins

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.

Notă biografică

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.

Textul de pe ultima copertă

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

Caracteristici

An in-depth broad introduction to computational thinking Uses the popular Python programming language The author is an expert computational programmer and teacher