Think Data Structures

Think Data Structures
Author: Allen Downey
Publsiher: "O'Reilly Media, Inc."
Total Pages: 158
Release: 2017-07-07
ISBN: 1491972343
Category: Computers
Language: EN, FR, DE, ES & NL

Think Data Structures Book Excerpt:

If you’re a student studying computer science or a software developer preparing for technical interviews, this practical book will help you learn and review some of the most important ideas in software engineering—data structures and algorithms—in a way that’s clearer, more concise, and more engaging than other materials. By emphasizing practical knowledge and skills over theory, author Allen Downey shows you how to use data structures to implement efficient algorithms, and then analyze and measure their performance. You’ll explore the important classes in the Java collections framework (JCF), how they’re implemented, and how they’re expected to perform. Each chapter presents hands-on exercises supported by test code online. Use data structures such as lists and maps, and understand how they work Build an application that reads Wikipedia pages, parses the contents, and navigates the resulting data tree Analyze code to predict how fast it will run and how much memory it will require Write classes that implement the Map interface, using a hash table and binary search tree Build a simple web search engine with a crawler, an indexer that stores web page contents, and a retriever that returns user query results Other books by Allen Downey include Think Java, Think Python, Think Stats, and Think Bayes.

A Practical Guide to Data Structures and Algorithms using Java

A Practical Guide to Data Structures and Algorithms using Java
Author: Sally. A Goldman,Kenneth. J Goldman
Publsiher: CRC Press
Total Pages: 1056
Release: 2007-08-23
ISBN: 1420010336
Category: Computers
Language: EN, FR, DE, ES & NL

A Practical Guide to Data Structures and Algorithms using Java Book Excerpt:

Although traditional texts present isolated algorithms and data structures, they do not provide a unifying structure and offer little guidance on how to appropriately select among them. Furthermore, these texts furnish little, if any, source code and leave many of the more difficult aspects of the implementation as exercises. A fresh alternative to

Codeless Data Structures and Algorithms

Codeless Data Structures and Algorithms
Author: Armstrong Subero
Publsiher: Apress
Total Pages: 146
Release: 2020-02-13
ISBN: 1484257251
Category: Computers
Language: EN, FR, DE, ES & NL

Codeless Data Structures and Algorithms Book Excerpt:

In the era of self-taught developers and programmers, essential topics in the industry are frequently learned without a formal academic foundation. A solid grasp of data structures and algorithms (DSA) is imperative for anyone looking to do professional software development and engineering, but classes in the subject can be dry or spend too much time on theory and unnecessary readings. Regardless of your programming language background, Codeless Data Structures and Algorithms has you covered. In this book, author Armstrong Subero will help you learn DSAs without writing a single line of code. Straightforward explanations and diagrams give you a confident handle on the topic while ensuring you never have to open your code editor, use a compiler, or look at an integrated development environment. Subero introduces you to linear, tree, and hash data structures and gives you important insights behind the most common algorithms that you can directly apply to your own programs. Codeless Data Structures and Algorithms provides you with the knowledge about DSAs that you will need in the professional programming world, without using any complex mathematics or irrelevant information. Whether you are a new developer seeking a basic understanding of the subject or a decision-maker wanting a grasp of algorithms to apply to your projects, this book belongs on your shelf. Quite often, a new, refreshing, and unpretentious approach to a topic is all you need to get inspired. What You'll LearnUnderstand tree data structures without delving into unnecessary details or going into too much theoryGet started learning linear data structures with a basic discussion on computer memory Study an overview of arrays, linked lists, stacks and queues Who This Book Is ForThis book is for beginners, self-taught developers and programmers, and anyone who wants to understand data structures and algorithms but don’t want to wade through unnecessary details about quirks of a programming language or don’t have time to sit and read a massive book on the subject. This book is also useful for non-technical decision-makers who are curious about how algorithms work.

Think data structures

Think data structures
Author: Allen Downey
Publsiher: Unknown
Total Pages: 135
Release: 2018
ISBN: 9789864767212
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Think data structures Book Excerpt:

Magnifying Data Structures

Magnifying Data Structures
Author: Gopal,Gopal Arpita
Publsiher: PHI Learning Pvt. Ltd.
Total Pages: 135
Release: 2022
ISBN: 8120340191
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Magnifying Data Structures Book Excerpt:

Integrated Uncertainty in Knowledge Modelling and Decision Making

Integrated Uncertainty in Knowledge Modelling and Decision Making
Author: Van-Nam Huynh,Masahiro Inuiguchi,Dang Hung Tran,Thierry Denoeux
Publsiher: Springer
Total Pages: 478
Release: 2018-03-09
ISBN: 3319754297
Category: Computers
Language: EN, FR, DE, ES & NL

Integrated Uncertainty in Knowledge Modelling and Decision Making Book Excerpt:

This book constitutes the refereed proceedings of the 6th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2018, held in Hanoi, Vietnam, in March 2018.The 39 revised full papers presented in this book were carefully reviewed and selected from 76 initial submissions. The papers are organized in topical sections on uncertainty management and decision support; clustering and classification; machine learning applications; statistical methods; and econometric applications.

Applied Computational Thinking with Python

Applied Computational Thinking with Python
Author: Sofía De Jesús,Dayrene Martinez
Publsiher: Packt Publishing Ltd
Total Pages: 420
Release: 2020-11-27
ISBN: 183921676X
Category: Computers
Language: EN, FR, DE, ES & NL

Applied Computational Thinking with Python Book Excerpt:

Applied Computational Thinking with Python provides a hands-on approach to implementation and associated methodologies that will have you up-and-running, and productive in no time. Developers working with Python will be able to put their knowledge to work with this practical guide using the computational thinking method for problem-solving.

Think Julia

Think Julia
Author: Ben Lauwens,Allen B. Downey
Publsiher: "O'Reilly Media, Inc."
Total Pages: 298
Release: 2019-04-05
ISBN: 1492044989
Category: Computers
Language: EN, FR, DE, ES & NL

Think Julia Book Excerpt:

If you’re just learning how to program, Julia is an excellent JIT-compiled, dynamically typed language with a clean syntax. This hands-on guide uses Julia 1.0 to walk you through programming one step at a time, beginning with basic programming concepts before moving on to more advanced capabilities, such as creating new types and multiple dispatch. Designed from the beginning for high performance, Julia is a general-purpose language ideal for not only numerical analysis and computational science but also web programming and scripting. Through exercises in each chapter, you’ll try out programming concepts as you learn them. Think Julia is perfect for students at the high school or college level as well as self-learners and professionals who need to learn programming basics. Start with the basics, including language syntax and semantics Get a clear definition of each programming concept Learn about values, variables, statements, functions, and data structures in a logical progression Discover how to work with files and databases Understand types, methods, and multiple dispatch Use debugging techniques to fix syntax, runtime, and semantic errors Explore interface design and data structures through case studies

Data Structures and Algorithms with Scala

Data Structures and Algorithms with Scala
Author: Bhim P. Upadhyaya
Publsiher: Springer
Total Pages: 154
Release: 2019-02-26
ISBN: 3030125610
Category: Computers
Language: EN, FR, DE, ES & NL

Data Structures and Algorithms with Scala Book Excerpt:

This practically-focused textbook presents a concise tutorial on data structures and algorithms using the object-functional language Scala. The material builds upon the foundation established in the title Programming with Scala: Language Exploration by the same author, which can be treated as a companion text for those less familiar with Scala. Topics and features: discusses data structures and algorithms in the form of design patterns; covers key topics on arrays, lists, stacks, queues, hash tables, binary trees, sorting, searching, and graphs; describes examples of complete and running applications for each topic; presents a functional approach to implementations for data structures and algorithms (excepting arrays); provides numerous challenge exercises (with solutions), encouraging the reader to take existing solutions and improve upon them; offers insights from the author’s extensive industrial experience; includes a glossary, and an appendix supplying an overview of discrete mathematics. Highlighting the techniques and skills necessary to quickly derive solutions to applied problems, this accessible text will prove invaluable to time-pressured students and professional software engineers.

Functional Thinking

Functional Thinking
Author: Neal Ford
Publsiher: "O'Reilly Media, Inc."
Total Pages: 180
Release: 2014-06-30
ISBN: 1449365493
Category: Computers
Language: EN, FR, DE, ES & NL

Functional Thinking Book Excerpt:

If you’re familiar with functional programming basics and want to gain a much deeper understanding, this in-depth guide takes you beyond syntax and demonstrates how you need to think in a new way. Software architect Neal Ford shows intermediate to advanced developers how functional coding allows you to step back a level of abstraction so you can see your programming problem with greater clarity. Each chapter shows you various examples of functional thinking, using numerous code examples from Java 8 and other JVM languages that include functional capabilities. This book may bend your mind, but you’ll come away with a much better grasp of functional programming concepts. Understand why many imperative languages are adding functional capabilities Compare functional and imperative solutions to common problems Examine ways to cede control of routine chores to the runtime Learn how memoization and laziness eliminate hand-crafted solutions Explore functional approaches to design patterns and code reuse View real-world examples of functional thinking with Java 8, and in functional architectures and web frameworks Learn the pros and cons of living in a paradigmatically richer world If you’re new to functional programming, check out Josh Backfield’s book Becoming Functional.

Algorithmic Thinking

Algorithmic Thinking
Author: Daniel Zingaro
Publsiher: No Starch Press
Total Pages: 408
Release: 2020-12-15
ISBN: 1718500807
Category: Computers
Language: EN, FR, DE, ES & NL

Algorithmic Thinking Book Excerpt:

A hands-on, problem-based introduction to building algorithms and data structures to solve problems with a computer. Algorithmic Thinking will teach you how to solve challenging programming problems and design your own algorithms. Daniel Zingaro, a master teacher, draws his examples from world-class programming competitions like USACO and IOI. You'll learn how to classify problems, choose data structures, and identify appropriate algorithms. You'll also learn how your choice of data structure, whether a hash table, heap, or tree, can affect runtime and speed up your algorithms; and how to adopt powerful strategies like recursion, dynamic programming, and binary search to solve challenging problems. Line-by-line breakdowns of the code will teach you how to use algorithms and data structures like: • The breadth-first search algorithm to find the optimal way to play a board game or find the best way to translate a book • Dijkstra's algorithm to determine how many mice can exit a maze or the number of fastest routes between two locations • The union-find data structure to answer questions about connections in a social network or determine who are friends or enemies • The heap data structure to determine the amount of money given away in a promotion • The hash-table data structure to determine whether snowflakes are unique or identify compound words in a dictionary NOTE: Each problem in this book is available on a programming-judge website. You'll find the site's URL and problem ID in the description. What's better than a free correctness check?

Introduction to Computation and Programming Using Python revised and expanded edition

Introduction to Computation and Programming Using Python  revised and expanded edition
Author: John V. Guttag
Publsiher: MIT Press
Total Pages: 320
Release: 2013-08-09
ISBN: 0262316668
Category: Computers
Language: EN, FR, DE, ES & NL

Introduction to Computation and Programming Using Python revised and expanded edition Book Excerpt:

An introductory text that teaches students the art of computational problem solving, covering topics that range from simple algorithms to information visualization. This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of “data science” for using computation to model and interpret data. The book is based on an MIT course (which became the most popular course offered through MIT's OpenCourseWare) and was developed for use not only in a conventional classroom but in a massive open online course (or MOOC) offered by the pioneering MIT-Harvard collaboration edX. Students are introduced to Python and the basics of programming in the context of such computational concepts and techniques as exhaustive enumeration, bisection search, and efficient approximation algorithms. The book does not require knowledge of mathematics beyond high school algebra, but does assume that readers are comfortable with rigorous thinking and not intimidated by mathematical concepts. Although it covers such traditional topics as computational complexity and simple algorithms, the book focuses on a wide range of topics not found in most introductory texts, including information visualization, simulations to model randomness, computational techniques to understand data, and statistical techniques that inform (and misinform) as well as two related but relatively advanced topics: optimization problems and dynamic programming. Introduction to Computation and Programming Using Python can serve as a stepping-stone to more advanced computer science courses, or as a basic grounding in computational problem solving for students in other disciplines.

Introduction to Computation and Programming Using Python

Introduction to Computation and Programming Using Python
Author: John Guttag
Publsiher: MIT Press
Total Pages: 298
Release: 2013-08-09
ISBN: 0262525003
Category: Computers
Language: EN, FR, DE, ES & NL

Introduction to Computation and Programming Using Python Book Excerpt:

An introductory text that teaches students the art of computational problem solving, covering topics that range from simple algorithms to information visualization.

Objects Abstraction Data Structures and Design

Objects  Abstraction  Data Structures and Design
Author: Elliot B. Koffman,Paul A. T. Wolfgang
Publsiher: John Wiley & Sons
Total Pages: 832
Release: 2005-10-20
ISBN: 0471467553
Category: Computers
Language: EN, FR, DE, ES & NL

Objects Abstraction Data Structures and Design Book Excerpt:

"It is a practical book with emphasis on real problems the programmers encounter daily." --Dr.Tim H. Lin, California State Polytechnic University, Pomona "My overall impressions of this book are excellent. This book emphasizes the three areas I want: advanced C++, data structures and the STL and is much stronger in these areas than other competing books." --Al Verbanec, Pennsylvania State University Think, Then Code When it comes to writing code, preparation is crucial to success. Before you can begin writing successful code, you need to first work through your options and analyze the expected performance of your design. That's why Elliot Koffman and Paul Wolfgang's Objects, Abstraction, Data Structures, and Design: Using C++ encourages you to Think, Then Code, to help you make good decisions in those critical first steps in the software design process. The text helps you thoroughly understand basic data structures and algorithms, as well as essential design skills and principles. Approximately 20 case studies show you how to apply those skills and principles to real-world problems. Along the way, you'll gain an understanding of why different data structures are needed, the applications they are suited for, and the advantages and disadvantages of their possible implementations. Key Features * Object-oriented approach. * Data structures are presented in the context of software design principles. * 20 case studies reinforce good programming practice. * Problem-solving methodology used throughout... "Think, then code!" * Emphasis on the C++ Standard Library. * Effective pedagogy.

The Psychology of Expertise

The Psychology of Expertise
Author: Robert R. Hoffman
Publsiher: Psychology Press
Total Pages: 410
Release: 2014-02-25
ISBN: 1317779541
Category: Psychology
Language: EN, FR, DE, ES & NL

The Psychology of Expertise Book Excerpt:

This volume investigates our ability to capture, and then apply, expertise. In recent years, expertise has come to be regarded as an increasingly valuable and surprisingly elusive resource. Experts, who were the sole active dispensers of certain kinds of knowledge in the days before AI, have themselves become the objects of empirical inquiry, in which their knowledge is elicited and studied -- by knowledge engineers, experimental psychologists, applied psychologists, or other experts -- involved in the development of expert systems. This book achieves a marriage between experimentalists, applied scientists, and theoreticians who deal with expertise. It envisions the benefits to society of an advanced technology for capturing and disseminating the knowledge and skills of the best corporate managers, the most seasoned pilots, and the most renowned medical diagnosticians. This book should be of interest to psychologists as well as to knowledge engineers who are "out in the trenches" developing expert systems, and anyone pondering the nature of expertise and the question of how it can be elicited and studied scientifically. The book's scope and the pivotal concepts that it elucidates and appraises, as well as the extensive categorized bibliographies it includes, make this volume a landmark in the field of expert systems and AI as well as the field of applied experimental psychology.

Philosophy and Connectionist Theory

Philosophy and Connectionist Theory
Author: William Ramsey,David E. Rumelhart,Stephen P. Stich
Publsiher: Psychology Press
Total Pages: 336
Release: 2013-06-17
ISBN: 1134755023
Category: Psychology
Language: EN, FR, DE, ES & NL

Philosophy and Connectionist Theory Book Excerpt:

The philosophy of cognitive science has recently become one of the most exciting and fastest growing domains of philosophical inquiry and analysis. Until the early 1980s, nearly all of the models developed treated cognitive processes -- like problem solving, language comprehension, memory, and higher visual processing -- as rule-governed symbol manipulation. However, this situation has changed dramatically over the last half dozen years. In that period there has been an enormous shift of attention toward connectionist models of cognition that are inspired by the network-like architecture of the brain. Because of their unique architecture and style of processing, connectionist systems are generally regarded as radically different from the more traditional symbol manipulation models. This collection was designed to provide philosophers who have been working in the area of cognitive science with a forum for expressing their views on these recent developments. Because the symbol-manipulating paradigm has been so important to the work of contemporary philosophers, many have watched the emergence of connectionism with considerable interest. The contributors take very different stands toward connectionism, but all agree that the potential exists for a radical shift in the way many philosophers think of various aspects of cognition. Exploring this potential and other philosophical dimensions of connectionist research is the aim of this volume.

Algorithm and Data Structures

Algorithm and Data Structures
Author: M.M Raghuwanshi
Publsiher: ALPHA SCIENCE INTERNATIONAL LIMITED
Total Pages: 384
Release: 2016-01-05
ISBN: 1783323809
Category: Computers
Language: EN, FR, DE, ES & NL

Algorithm and Data Structures Book Excerpt:

ALGORITHMS AND DATA STRUCTURES is primarily designed for use in a first undergraduate course on algorithms, but it can also be used as the basis for an introductory graduate course, for researchers, or computer professionals who want to get and sense for how they might be able to use particular data structure and algorithm design techniques in the context of their own work.The goal of this book is to convey this approach to algorithms, as a design process that begins with problems arising across the full range of computing applications, builds on an understanding of algorithm design techniques, and results in the development of efficient solutions to these problems. It seek to explore the role of algorithmic ideas in computer science generally, and relate these ideas to the range of precisely formulated problems for which we can design and analyze algorithm.

A User s Guide to Thought and Meaning

A User s Guide to Thought and Meaning
Author: Ray Jackendoff
Publsiher: OUP Oxford
Total Pages: 288
Release: 2012-02-23
ISBN: 0191620688
Category: Language Arts & Disciplines
Language: EN, FR, DE, ES & NL

A User s Guide to Thought and Meaning Book Excerpt:

A User's Guide to Thought and Meaning presents a profound and arresting integration of the faculties of the mind - of how we think, speak, and see the world. Ray Jackendoff starts out by looking at languages and what the meanings of words and sentences actually do. He shows that meanings are more adaptive and complicated than they're commonly given credit for, and he is led to some basic questions: How do we perceive and act in the world? How do we talk about it? And how can the collection of neurons in the brain give rise to conscious experience? As it turns out, the organization of language, thought, and perception does not look much like the way we experience things, and only a small part of what the brain does is conscious. Jackendoff concludes that thought and meaning must be almost completely unconscious. What we experience as rational conscious thought - which we prize as setting us apart from the animals - in fact rides on a foundation of unconscious intuition. Rationality amounts to intuition enhanced by language. Written with an informality that belies both the originality of its insights and the radical nature of its conclusions, A User's Guide to Thought and Meaning is the author's most important book since the groundbreaking Foundations of Language in 2002.

Fundamentals of Computer Programming with C

Fundamentals of Computer Programming with C
Author: Svetlin Nakov,Veselin Kolev
Publsiher: Faber Publishing
Total Pages: 1132
Release: 2013-09-01
ISBN: 9544007733
Category: Computers
Language: EN, FR, DE, ES & NL

Fundamentals of Computer Programming with C Book Excerpt:

The free book "Fundamentals of Computer Programming with C#" is a comprehensive computer programming tutorial that teaches programming, logical thinking, data structures and algorithms, problem solving and high quality code with lots of examples in C#. It starts with the first steps in programming and software development like variables, data types, conditional statements, loops and arrays and continues with other basic topics like methods, numeral systems, strings and string processing, exceptions, classes and objects. After the basics this fundamental programming book enters into more advanced programming topics like recursion, data structures (lists, trees, hash-tables and graphs), high-quality code, unit testing and refactoring, object-oriented principles (inheritance, abstraction, encapsulation and polymorphism) and their implementation the C# language. It also covers fundamental topics that each good developer should know like algorithm design, complexity of algorithms and problem solving. The book uses C# language and Visual Studio to illustrate the programming concepts and explains some C# / .NET specific technologies like lambda expressions, extension methods and LINQ. The book is written by a team of developers lead by Svetlin Nakov who has 20+ years practical software development experience. It teaches the major programming concepts and way of thinking needed to become a good software engineer and the C# language in the meantime. It is a great start for anyone who wants to become a skillful software engineer. The books does not teach technologies like databases, mobile and web development, but shows the true way to master the basics of programming regardless of the languages, technologies and tools. It is good for beginners and intermediate developers who want to put a solid base for a successful career in the software engineering industry. The book is accompanied by free video lessons, presentation slides and mind maps, as well as hundreds of exercises and live examples. Download the free C# programming book, videos, presentations and other resources from http://introprogramming.info. Title: Fundamentals of Computer Programming with C# (The Bulgarian C# Programming Book) ISBN: 9789544007737 ISBN-13: 978-954-400-773-7 (9789544007737) ISBN-10: 954-400-773-3 (9544007733) Author: Svetlin Nakov & Co. Pages: 1132 Language: English Published: Sofia, 2013 Publisher: Faber Publishing, Bulgaria Web site: http://www.introprogramming.info License: CC-Attribution-Share-Alike Tags: free, programming, book, computer programming, programming fundamentals, ebook, book programming, C#, CSharp, C# book, tutorial, C# tutorial; programming concepts, programming fundamentals, compiler, Visual Studio, .NET, .NET Framework, data types, variables, expressions, statements, console, conditional statements, control-flow logic, loops, arrays, numeral systems, methods, strings, text processing, StringBuilder, exceptions, exception handling, stack trace, streams, files, text files, linear data structures, list, linked list, stack, queue, tree, balanced tree, graph, depth-first search, DFS, breadth-first search, BFS, dictionaries, hash tables, associative arrays, sets, algorithms, sorting algorithm, searching algorithms, recursion, combinatorial algorithms, algorithm complexity, OOP, object-oriented programming, classes, objects, constructors, fields, properties, static members, abstraction, interfaces, encapsulation, inheritance, virtual methods, polymorphism, cohesion, coupling, enumerations, generics, namespaces, UML, design patterns, extension methods, anonymous types, lambda expressions, LINQ, code quality, high-quality code, high-quality classes, high-quality methods, code formatting, self-documenting code, code refactoring, problem solving, problem solving methodology, 9789544007737, 9544007733

Data Structures and Problem Solving Using Java

Data Structures and Problem Solving Using Java
Author: Mark A. Weiss
Publsiher: Unknown
Total Pages: 948
Release: 2013-07-23
ISBN: 9781292025766
Category: Computer algorithms
Language: EN, FR, DE, ES & NL

Data Structures and Problem Solving Using Java Book Excerpt:

For the second or third programming course. A practical and unique approach to data structures that separates interface from implementation. This book provides a practical introduction to data structures with an emphasis on abstract thinking and problem solving, as well as the use of Java. It does this through what remains a unique approach that clearly separates each data structure's interface (how to use a data structure) from its implementation (how to actually program that structure). Parts I (Tour of Java), II (Algorithms and Building Blocks),