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Algorithmen in Java: Das Buch zum Programmieren trainieren. 32 Klassiker der Informatik, von Rucksackproblem bis Neuronale Netze

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Klasyczne problemy informatyki w Pythonie

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Problemas Clássicos de Ciência da Computação com Python 30/09/2019

David Kopec

( 138 )

R$53,91 R$60,00

Problemas de ciência da computação aparentemente novos ou ímpares muitas vezes têm raízes em algoritmos clássicos, nas técnicas de programação e em princípios de engenharia. E as abordagens clássicas ainda são a melhor forma de solucioná-los! Compreender essas técnicas em Python faz com que o seu potencial para o sucesso se expanda nas áreas de desenvolvimento web, manipulação de dados, aprendizado de máquina e em outras áreas.
Problemas Clássicos de Ciência da Computação com Python permite aprimorar suas habilidades na resolução de problemas de ciência da computação usando Python, com cenários, exercícios e algoritmos consagrados pelo tempo. Você enfrentará dezenas de desafios de programação, os quais variam de tarefas simples como algoritmos de busca binária a clustering de dados usando k-means. Em particular, você apreciará a sensação de satisfação ao resolver problemas que conectam a ciência da computação com questões reais associadas a aplicativos, dados e desempenho, e até mesmo com o sucesso em sua próxima entrevista de emprego!
O que o livro contém:
● algoritmos de busca;
● técnicas comuns para grafos;
● redes neurais;
● algoritmos genéticos;
● busca competitiva;
● uso de dicas de tipo em todos os códigos.
Para programadores Python de nível intermediário

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Classic Computer Science Problems in Python: Easy to advanced programming challenges to sharpen your coding skills and improve your algorithmic thinking (English Edition) 05/03/2019

David Kopec

( 114 )

R$165,26

"Whether you're a novice or a seasoned professional, there's an Aha! moment in this book for everyone." - James Watson, Adaptive

”Highly recommended to everyone interested in deepening their understanding of Python and practical computer science.” —Daniel Kenney-Jung, MD, University of Minnesota

Key Features

• Master formal techniques taught in college computer science classes
• Connect computer science theory to real-world applications, data, and performance
• Prepare for programmer interviews
• Recognize the core ideas behind most “new” challenges
• Covers Python 3.7

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About The Book

Programming problems that seem new or unique are usually rooted in well-known engineering principles. Classic Computer Science Problems in Python guides you through time-tested scenarios, exercises, and algorithms that will prepare you for the “new” problems you’ll face when you start your next project.

In this amazing book, you'll tackle dozens of coding challenges, ranging from simple tasks like binary search algorithms to clustering data using k-means. As you work through examples for web development, machine learning, and more, you'll remember important things you've forgotten and discover classic solutions that will save you hours of time.

What You Will Learn

• Search algorithms
• Common techniques for graphs
• Neural networks
• Genetic algorithms
• Adversarial search
• Uses type hints throughout

This Book Is Written For

For intermediate Python programmers.

About The Author

David Kopec is an assistant professor of Computer Science and Innovation at Champlain College in Burlington, Vermont. He is the author of Dart for Absolute Beginners (Apress, 2014), Classic Computer Science Problems in Swift (Manning, 2018), and Classic Computer Science Problems in Java (Manning, 2020)

Table of Contents

1. Small problems
2. Search problems
3. Constraint-satisfaction problems
4. Graph problems
5. Genetic algorithms
6. K-means clustering
7. Fairly simple neural networks
8. Adversarial search
9. Miscellaneous problems

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Classic Computer Science Problems in Java (English Edition) 21/12/2020

David Kopec

( 8 )

R$199,31

Sharpen your coding skills by exploring established computer science problems! Classic Computer Science Problems in Java challenges you with time-tested scenarios and algorithms.

Summary
Sharpen your coding skills by exploring established computer science problems! Classic Computer Science Problems in Java challenges you with time-tested scenarios and algorithms. You’ll work through a series of exercises based in computer science fundamentals that are designed to improve your software development abilities, improve your understanding of artificial intelligence, and even prepare you to ace an interview. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your "new" problems!

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the technology
Whatever software development problem you’re facing, odds are someone has already uncovered a solution. This book collects the most useful solutions devised, guiding you through a variety of challenges and tried-and-true problem-solving techniques. The principles and algorithms presented here are guaranteed to save you countless hours in project after project.

About the book
Classic Computer Science Problems in Java is a master class in computer programming designed around 55 exercises that have been used in computer science classrooms for years. You’ll work through hands-on examples as you explore core algorithms, constraint problems, AI applications, and much more.

What's inside

    Recursion, memoization, and bit manipulation
    Search, graph, and genetic algorithms
    Constraint-satisfaction problems
    K-means clustering, neural networks, and adversarial search

About the reader
For intermediate Java programmers.

About the author
David Kopec is an assistant professor of Computer Science and Innovation at Champlain College in Burlington, Vermont.

Table of Contents

1 Small problems
2 Search problems
3 Constraint-satisfaction problems
4 Graph problems
5 Genetic algorithms
6 K-means clustering
7 Fairly simple neural networks
8 Adversarial search
9 Miscellaneous problems
10 Interview with Brian Goetz

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Classic Computer Science Problems in Swift: Essential techniques for practicing programmers (English Edition) 24/03/2018

David Kopec

( 14 )

R$148,63

Summary

Classic Computer Science Problems in Swift invites readers to invest their energy in some foundational techniques that have been proven to stand the test of time. Along the way they'll learn intermediate and advanced features of the Swift programming language, a worthwhile skill in its own right.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Technology

Don't just learn another language. Become a better programmer instead. Today's awesome iOS apps stand on the shoulders of classic algorithms, coding techniques, and engineering principles. Master these core skills in Swift, and you'll be ready for AI, data-centric programming, machine learning, and the other development challenges that will define the next decade.

About the Book

Classic Computer Science Problems in Swift deepens your Swift language skills by exploring foundational coding techniques and algorithms. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your "new" problems. You'll appreciate author David Kopec's amazing ability to connect the core disciplines of computer science to the real-world concerns of apps, data, performance, and even nailing your next job interview!

What's Inside

Breadth-first, depth-first, and A* search algorithms
Constraint-satisfaction problems
Solving problems with graph algorithms
Neural networks, genetic algorithms, and more
All examples written in Swift 4.1

About the Reader

For readers comfortable with the basics of Swift.

About the Author

David Kopec is an assistant professor of computer science and innovation at Champlain College in Burlington, Vermont. He is an experienced iOS developer and the author of Dart for Absolute Beginners.

Table of Contents

Small problems
Search problems
Constraint-satisfaction problems
Graph problems
Genetic algorithms
K-means clustering
Fairly simple neural networks
Miscellaneous problems

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Dart for Absolute Beginners (English Edition) 30/06/2014

David Kopec

( 9 )

R$236,46

Dart for Absolute Beginners enables individuals with no background in programming to create their own web apps while learning the fundamentals of software development in a cutting edge language. Easily digested chapters, while comprehensive enough to explore the whole domain, are aimed at both hobbyists and professionals alike. The reader will not only gain an insight into Dart, but also the technologies behind the web. A firm foundation is laid for further programming studies.

Dart is a new, innovative language developed by Google which is poised to take the web by storm. For client side web app development, Dart has many advantages over JavaScript. These include but are not limited to: improved speed, enforcement of programmatic structure, and improved facilities for software reuse. Best of all, Dart is automatically converted to JavaScript so that it works with all web browsers. Dart is a fresh start, without the baggage of the last two decades of the web. Why start learning to program with yesterday’s technology?

Teaches you the fundamentals of programming and the technologies behind the web.
Utilizes the cutting edge, easy to learn, structured Dart programming language so that your first steps are pointed towards the future of web development.
No prior knowledge is required to begin developing your own web apps.

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