Learning Functional Data Structures And Algorithms

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Learning Functional Data Structures and Algorithms

Author : Atul S. Khot
Publisher : Packt Publishing Ltd
ISBN 13 : 178588588X
Total Pages : 312 pages
Book Rating : 4.7/5 (858 download)

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Book Synopsis Learning Functional Data Structures and Algorithms by : Atul S. Khot

Download or read book Learning Functional Data Structures and Algorithms written by Atul S. Khot and published by Packt Publishing Ltd. This book was released on 2017-02-23 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn functional data structures and algorithms for your applications and bring their benefits to your work now About This Book Moving from object-oriented programming to functional programming? This book will help you get started with functional programming. Easy-to-understand explanations of practical topics will help you get started with functional data structures. Illustrative diagrams to explain the algorithms in detail. Get hands-on practice of Scala to get the most out of functional programming. Who This Book Is For This book is for those who have some experience in functional programming languages. The data structures in this book are primarily written in Scala, however implementing the algorithms in other functional languages should be straight forward. What You Will Learn Learn to think in the functional paradigm Understand common data structures and the associated algorithms, as well as the context in which they are commonly used Take a look at the runtime and space complexities with the O notation See how ADTs are implemented in a functional setting Explore the basic theme of immutability and persistent data structures Find out how the internal algorithms are redesigned to exploit structural sharing, so that the persistent data structures perform well, avoiding needless copying. Get to know functional features like lazy evaluation and recursion used to implement efficient algorithms Gain Scala best practices and idioms In Detail Functional data structures have the power to improve the codebase of an application and improve efficiency. With the advent of functional programming and with powerful functional languages such as Scala, Clojure and Elixir becoming part of important enterprise applications, functional data structures have gained an important place in the developer toolkit. Immutability is a cornerstone of functional programming. Immutable and persistent data structures are thread safe by definition and hence very appealing for writing robust concurrent programs. How do we express traditional algorithms in functional setting? Won't we end up copying too much? Do we trade performance for versioned data structures? This book attempts to answer these questions by looking at functional implementations of traditional algorithms. It begins with a refresher and consolidation of what functional programming is all about. Next, you'll get to know about Lists, the work horse data type for most functional languages. We show what structural sharing means and how it helps to make immutable data structures efficient and practical. Scala is the primary implementation languages for most of the examples. At times, we also present Clojure snippets to illustrate the underlying fundamental theme. While writing code, we use ADTs (abstract data types). Stacks, Queues, Trees and Graphs are all familiar ADTs. You will see how these ADTs are implemented in a functional setting. We look at implementation techniques like amortization and lazy evaluation to ensure efficiency. By the end of the book, you will be able to write efficient functional data structures and algorithms for your applications. Style and approach Step-by-step topics will help you get started with functional programming. Learn by doing with hands-on code snippets that give you practical experience of the subject.

Purely Functional Data Structures

Author : Chris Okasaki
Publisher : Cambridge University Press
ISBN 13 : 9780521663502
Total Pages : 236 pages
Book Rating : 4.6/5 (635 download)

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Book Synopsis Purely Functional Data Structures by : Chris Okasaki

Download or read book Purely Functional Data Structures written by Chris Okasaki and published by Cambridge University Press. This book was released on 1999-06-13 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes data structures and data structure design techniques for functional languages.

Learning Functional Data Structures and Algorithms

Author : Atul Khot
Publisher :
ISBN 13 : 9781785888731
Total Pages : 394 pages
Book Rating : 4.8/5 (887 download)

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Book Synopsis Learning Functional Data Structures and Algorithms by : Atul Khot

Download or read book Learning Functional Data Structures and Algorithms written by Atul Khot and published by . This book was released on 2016-10-31 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn functional data structures and algorithms for your applicationsAbout This Book*Moving from object-oriented programming to functional programming? This book will help you get started with functional programming.*Easy-to-understand explanations of practical topics will help you get started with functional data structures.*Get hands-on practice of Scala and Clojure to get the most out of functional programming.Who This Book Is ForThis book is for those who have some experience in functional programming languages. The data structures in this book are written in Scala and Clojure, but the users of other functional languages will also be able to use the algorithms and benefit from the book.What You Will Learn*Understand common data structures and the associated algorithms, as well as the context in which they are commonly used*Take a look at the runtime and space complexities with the O notation*Get an understanding of the traditional/imperative Java implementation*Grasp the purely functional version in Scala and Clojure*Get hands-on practice with the concepts of Scala and Clojure*See how Scala and Clojure data structures are implemented*Explore the basic themes of immutability, structural sharing, lazy evaluation, and recursion, as well as how they work together*Gain Scala and Clojure best practices and idiomsIn DetailFunctional data structures have the power to improve the codebase of an application and improve efficiency. With the advent of functional programming and with powerful functional languages such as Scala and Clojure becoming part of important enterprise applications, functional data structures have gained an important place in the developer toolkit. There are powerful algorithms that you can use and benefit from once they are written in the functional paradigm.This book covers all the major algorithms to improve your understanding of functional programming and data structures. It begins with a refresher and consolidation of what functional programming is and you'll get a taste of it in Scala and Clojure. Next, you'll get to know about the concept of cons and how structural sharing makes immutable data structures efficient and practical. You will learn to implement algorithms with arrays and we will also take a look at VList using Scala and Clojure.You will also see various techniques to write functional data structures and will discover how to deal with original data structures such as lists, queues, heaps, and so on. We will go into detail about lazy evaluation for these data structures.By the end of the book, you will be able to write efficient functional data structures and algorithms for your applications.

Purely Functional Data Structures

Author : Chris Okasaki
Publisher : Cambridge University Press
ISBN 13 : 1139811010
Total Pages : 190 pages
Book Rating : 4.1/5 (398 download)

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Book Synopsis Purely Functional Data Structures by : Chris Okasaki

Download or read book Purely Functional Data Structures written by Chris Okasaki and published by Cambridge University Press. This book was released on 1998-04-13 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most books on data structures assume an imperative language like C or C++. However, data structures for these languages do not always translate well to functional languages such as Standard ML, Haskell, or Scheme. This book describes data structures from the point of view of functional languages, with examples, and presents design techniques so that programmers can develop their own functional data structures. It includes both classical data structures, such as red-black trees and binomial queues, and a host of new data structures developed exclusively for functional languages. All source code is given in Standard ML and Haskell, and most of the programs can easily be adapted to other functional languages. This handy reference for professional programmers working with functional languages can also be used as a tutorial or for self-study.

R Data Structures and Algorithms

Author : Dr. PKS Prakash
Publisher : Packt Publishing Ltd
ISBN 13 : 1786464160
Total Pages : 266 pages
Book Rating : 4.7/5 (864 download)

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Book Synopsis R Data Structures and Algorithms by : Dr. PKS Prakash

Download or read book R Data Structures and Algorithms written by Dr. PKS Prakash and published by Packt Publishing Ltd. This book was released on 2016-11-21 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Increase speed and performance of your applications with efficient data structures and algorithms About This Book See how to use data structures such as arrays, stacks, trees, lists, and graphs through real-world examples Find out about important and advanced data structures such as searching and sorting algorithms Understand important concepts such as big-o notation, dynamic programming, and functional data structured Who This Book Is For This book is for R developers who want to use data structures efficiently. Basic knowledge of R is expected. What You Will Learn Understand the rationality behind data structures and algorithms Understand computation evaluation of a program featuring asymptotic and empirical algorithm analysis Get to know the fundamentals of arrays and linked-based data structures Analyze types of sorting algorithms Search algorithms along with hashing Understand linear and tree-based indexing Be able to implement a graph including topological sort, shortest path problem, and Prim's algorithm Understand dynamic programming (Knapsack) and randomized algorithms In Detail In this book, we cover not only classical data structures, but also functional data structures. We begin by answering the fundamental question: why data structures? We then move on to cover the relationship between data structures and algorithms, followed by an analysis and evaluation of algorithms. We introduce the fundamentals of data structures, such as lists, stacks, queues, and dictionaries, using real-world examples. We also cover topics such as indexing, sorting, and searching in depth. Later on, you will be exposed to advanced topics such as graph data structures, dynamic programming, and randomized algorithms. You will come to appreciate the intricacies of high performance and scalable programming using R. We also cover special R data structures such as vectors, data frames, and atomic vectors. With this easy-to-read book, you will be able to understand the power of linked lists, double linked lists, and circular linked lists. We will also explore the application of binary search and will go in depth into sorting algorithms such as bubble sort, selection sort, insertion sort, and merge sort. Style and approach This easy-to-read book with its fast-paced nature will improve the productivity of an R programmer and improve the performance of R applications. It is packed with real-world examples.

Python Data Structures and Algorithms

Author : Benjamin Baka
Publisher : Packt Publishing Ltd
ISBN 13 : 1786465337
Total Pages : 303 pages
Book Rating : 4.7/5 (864 download)

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Book Synopsis Python Data Structures and Algorithms by : Benjamin Baka

Download or read book Python Data Structures and Algorithms written by Benjamin Baka and published by Packt Publishing Ltd. This book was released on 2017-05-30 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: Implement classic and functional data structures and algorithms using Python About This Book A step by step guide, which will provide you with a thorough discussion on the analysis and design of fundamental Python data structures. Get a better understanding of advanced Python concepts such as big-o notation, dynamic programming, and functional data structures. Explore illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner. Who This Book Is For The book will appeal to Python developers. A basic knowledge of Python is expected. What You Will Learn Gain a solid understanding of Python data structures. Build sophisticated data applications. Understand the common programming patterns and algorithms used in Python data science. Write efficient robust code. In Detail Data structures allow you to organize data in a particular way efficiently. They are critical to any problem, provide a complete solution, and act like reusable code. In this book, you will learn the essential Python data structures and the most common algorithms. With this easy-to-read book, you will be able to understand the power of linked lists, double linked lists, and circular linked lists. You will be able to create complex data structures such as graphs, stacks and queues. We will explore the application of binary searches and binary search trees. You will learn the common techniques and structures used in tasks such as preprocessing, modeling, and transforming data. We will also discuss how to organize your code in a manageable, consistent, and extendable way. The book will explore in detail sorting algorithms such as bubble sort, selection sort, insertion sort, and merge sort. By the end of the book, you will learn how to build components that are easy to understand, debug, and use in different applications. Style and Approach The easy-to-read book with its fast-paced nature will improve the productivity of Python programmers and improve the performance of Python applications.

Algorithms

Author : Fethi Rabhi
Publisher : Addison Wesley
ISBN 13 : 9780201596045
Total Pages : 235 pages
Book Rating : 4.5/5 (96 download)

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Book Synopsis Algorithms by : Fethi Rabhi

Download or read book Algorithms written by Fethi Rabhi and published by Addison Wesley. This book was released on 1999 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: A student introduction to the design of algorithms for problem solving. Written from a functional programming perspective, the text should appeal to anyone studying algorithms. Included are end-of-chapter exercises and bibliographic references.

Java 9 Data Structures and Algorithms

Author : Debasish Ray Chawdhuri
Publisher : Packt Publishing Ltd
ISBN 13 : 1785888072
Total Pages : 340 pages
Book Rating : 4.7/5 (858 download)

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Book Synopsis Java 9 Data Structures and Algorithms by : Debasish Ray Chawdhuri

Download or read book Java 9 Data Structures and Algorithms written by Debasish Ray Chawdhuri and published by Packt Publishing Ltd. This book was released on 2017-04-28 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gain a deep understanding of the complexity of data structures and algorithms and discover the right way to write more efficient code About This Book This book provides complete coverage of reactive and functional data structures Based on the latest version of Java 9, this book illustrates the impact of new features on data structures Gain exposure to important concepts such as Big-O Notation and Dynamic Programming Who This Book Is For This book is for Java developers who want to learn about data structures and algorithms. Basic knowledge of Java is assumed. What You Will Learn Understand the fundamentals of algorithms, data structures, and measurement of complexity Find out what general purpose data structures are, including arrays, linked lists, double ended linked lists, and circular lists Get a grasp on the basics of abstract data types—stack, queue, and double ended queue See how to use recursive functions and immutability while understanding and in terms of recursion Handle reactive programming and its related data structures Use binary search, sorting, and efficient sorting—quicksort and merge sort Work with the important concept of trees and list all nodes of the tree, traversal of tree, search trees, and balanced search trees Apply advanced general purpose data structures, priority queue-based sorting, and random access immutable linked lists Gain a better understanding of the concept of graphs, directed and undirected graphs, undirected trees, and much more In Detail Java 9 Data Structures and Algorithms covers classical, functional, and reactive data structures, giving you the ability to understand computational complexity, solve problems, and write efficient code. This book is based on the Zero Bug Bounce milestone of Java 9. We start off with the basics of algorithms and data structures, helping you understand the fundamentals and measure complexity. From here, we introduce you to concepts such as arrays, linked lists, as well as abstract data types such as stacks and queues. Next, we'll take you through the basics of functional programming while making sure you get used to thinking recursively. We provide plenty of examples along the way to help you understand each concept. You will get the also get a clear picture of reactive programming, binary searches, sorting, search trees, undirected graphs, and a whole lot more! Style and approach This book will teach you about all the major algorithms in a step-by-step manner. Special notes on the Big-O Notation and its impact on algorithms will give you fresh insights.

PHP 7 Data Structures and Algorithms

Author : Mizanur Rahman
Publisher : Packt Publishing Ltd
ISBN 13 : 1786463571
Total Pages : 330 pages
Book Rating : 4.7/5 (864 download)

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Book Synopsis PHP 7 Data Structures and Algorithms by : Mizanur Rahman

Download or read book PHP 7 Data Structures and Algorithms written by Mizanur Rahman and published by Packt Publishing Ltd. This book was released on 2017-05-26 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Increase your productivity by implementing data structures About This Book Gain a complete understanding of data structures using a simple approach Analyze algorithms and learn when you should apply each solution Explore the true potential of functional data structures Who This Book Is For This book is for those who want to learn data structures and algorithms with PHP for better control over application-solution, efficiency, and optimization. A basic understanding of PHP data types, control structures, and other basic features is required What You Will Learn Gain a better understanding of PHP arrays as a basic data structure and their hidden power Grasp how to analyze algorithms and the Big O Notation Implement linked lists, double linked lists, stack, queues, and priority queues using PHP Work with sorting, searching, and recursive algorithms Make use of greedy, dynamic, and pattern matching algorithms Implement tree, heaps, and graph algorithms Apply PHP functional data structures and built-in data structures and algorithms In Detail PHP has always been the the go-to language for web based application development, but there are materials and resources you can refer to to see how it works. Data structures and algorithms help you to code and execute them effectively, cutting down on processing time significantly. If you want to explore data structures and algorithms in a practical way with real-life projects, then this book is for you. The book begins by introducing you to data structures and algorithms and how to solve a problem from beginning to end using them. Once you are well aware of the basics, it covers the core aspects like arrays, listed lists, stacks and queues. It will take you through several methods of finding efficient algorithms and show you which ones you should implement in each scenario. In addition to this, you will explore the possibilities of functional data structures using PHP and go through advanced algorithms and graphs as well as dynamic programming. By the end, you will be confident enough to tackle both basic and advanced data structures, understand how they work, and know when to use them in your day-to-day work Style and approach An easy-to-follow guide full of examples of implementation of data structures and real world examples to solve the problems faced. Each topic is first explained in general terms and then implemented using step by step explanation so that developers can understand each part of the discussion without any problem.

Data Structures and Algorithms with Scala

Author : Bhim P. Upadhyaya
Publisher : Springer
ISBN 13 : 3030125610
Total Pages : 154 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Data Structures and Algorithms with Scala by : Bhim P. Upadhyaya

Download or read book Data Structures and Algorithms with Scala written by Bhim P. Upadhyaya and published by Springer. This book was released on 2019-02-26 with total page 154 pages. Available in PDF, EPUB and Kindle. 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.

Algorithms for Functional Programming

Author : John David Stone
Publisher : Springer
ISBN 13 : 3662579707
Total Pages : 389 pages
Book Rating : 4.6/5 (625 download)

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Book Synopsis Algorithms for Functional Programming by : John David Stone

Download or read book Algorithms for Functional Programming written by John David Stone and published by Springer. This book was released on 2018-10-27 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a variety of widely used algorithms, expressing them in a pure functional programming language to make their structure and operation clearer to readers. In the opening chapter the author introduces the specific notations that constitute the variant of Scheme that he uses. The second chapter introduces many of the simpler and more general patterns available in functional programming. The chapters that follow introduce and explain data structures, sorting, combinatorial constructions, graphs, and sublist search. Throughout the book the author presents the algorithms in a purely functional version of the Scheme programming language, which he makes available on his website. The book is supported with exercises, and it is suitable for undergraduate and graduate courses on programming techniques.

Purely Functional Data Structures

Author : Chris Okasaki
Publisher : Cambridge University Press
ISBN 13 : 9780521631242
Total Pages : 232 pages
Book Rating : 4.6/5 (312 download)

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Book Synopsis Purely Functional Data Structures by : Chris Okasaki

Download or read book Purely Functional Data Structures written by Chris Okasaki and published by Cambridge University Press. This book was released on 1998-04-13 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most books on data structures assume an imperative language such as C or C++. However, data structures for these languages do not always translate well to functional languages such as Standard ML, Haskell, or Scheme. This book describes data structures from the point of view of functional languages, with examples, and presents design techniques that allow programmers to develop their own functional data structures. The author includes both classical data structures, such as red-black trees and binomial queues, and a host of new data structures developed exclusively for functional languages. All source code is given in Standard ML and Haskell, and most of the programs are easily adaptable to other functional languages. This handy reference for professional programmers working with functional languages can also be used as a tutorial or for self-study.

Functional Data Structures in R

Author : Thomas Mailund
Publisher : Apress
ISBN 13 : 1484231449
Total Pages : 262 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Functional Data Structures in R by : Thomas Mailund

Download or read book Functional Data Structures in R written by Thomas Mailund and published by Apress. This book was released on 2017-11-17 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get an introduction to functional data structures using R and write more effective code and gain performance for your programs. This book teaches you workarounds because data in functional languages is not mutable: for example you’ll learn how to change variable-value bindings by modifying environments, which can be exploited to emulate pointers and implement traditional data structures. You’ll also see how, by abandoning traditional data structures, you can manipulate structures by building new versions rather than modifying them. You’ll discover how these so-called functional data structures are different from the traditional data structures you might know, but are worth understanding to do serious algorithmic programming in a functional language such as R. By the end of Functional Data Structures in R, you’ll understand the choices to make in order to most effectively work with data structures when you cannot modify the data itself. These techniques are especially applicable for algorithmic development important in big data, finance, and other data science applications. What You'll Learn Carry out algorithmic programming in R Use abstract data structures Work with both immutable and persistent data Emulate pointers and implement traditional data structures in R Build new versions of traditional data structures that are known Who This Book Is For Experienced or advanced programmers with at least a comfort level with R. Some experience with data structures recommended.

Hands-On Data Structures and Algorithms with Rust

Author : Claus Matzinger
Publisher : Packt Publishing Ltd
ISBN 13 : 1788991494
Total Pages : 306 pages
Book Rating : 4.7/5 (889 download)

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Book Synopsis Hands-On Data Structures and Algorithms with Rust by : Claus Matzinger

Download or read book Hands-On Data Structures and Algorithms with Rust written by Claus Matzinger and published by Packt Publishing Ltd. This book was released on 2019-01-25 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design and implement professional level programs by exploring modern data structures and algorithms in Rust. Key FeaturesUse data structures such as arrays, stacks, trees, lists and graphs with real-world examplesLearn the functional and reactive implementations of the traditional data structuresExplore illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner.Book Description Rust has come a long way and is now utilized in several contexts. Its key strengths are its software infrastructure and resource-constrained applications, including desktop applications, servers, and performance-critical applications, not forgetting its importance in systems' programming. This book will be your guide as it takes you through implementing classic data structures and algorithms in Rust, helping you to get up and running as a confident Rust programmer. The book begins with an introduction to Rust data structures and algorithms, while also covering essential language constructs. You will learn how to store data using linked lists, arrays, stacks, and queues. You will also learn how to implement sorting and searching algorithms. You will learn how to attain high performance by implementing algorithms to string data types and implement hash structures in algorithm design. The book will examine algorithm analysis, including Brute Force algorithms, Greedy algorithms, Divide and Conquer algorithms, Dynamic Programming, and Backtracking. By the end of the book, you will have learned how to build components that are easy to understand, debug, and use in different applications. What you will learnDesign and implement complex data structures in RustAnalyze, implement, and improve searching and sorting algorithms in RustCreate and use well-tested and reusable components with RustUnderstand the basics of multithreaded programming and advanced algorithm designBecome familiar with application profiling based on benchmarking and testingExplore the borrowing complexity of implementing algorithmsWho this book is for This book is for developers seeking to use Rust solutions in a practical/professional setting; who wants to learn essential Data Structures and Algorithms in Rust. It is for developers with basic Rust language knowledge, some experience in other programming languages is required.

Hands-On Data Structures and Algorithms with Python

Author : Dr. Basant Agarwal
Publisher : Packt Publishing Ltd
ISBN 13 : 1788991931
Total Pages : 389 pages
Book Rating : 4.7/5 (889 download)

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Book Synopsis Hands-On Data Structures and Algorithms with Python by : Dr. Basant Agarwal

Download or read book Hands-On Data Structures and Algorithms with Python written by Dr. Basant Agarwal and published by Packt Publishing Ltd. This book was released on 2018-10-31 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn to implement complex data structures and algorithms using Python Key FeaturesUnderstand the analysis and design of fundamental Python data structuresExplore advanced Python concepts such as Big O notation and dynamic programmingLearn functional and reactive implementations of traditional data structuresBook Description Data structures allow you to store and organize data efficiently. They are critical to any problem, provide a complete solution, and act like reusable code. Hands-On Data Structures and Algorithms with Python teaches you the essential Python data structures and the most common algorithms for building easy and maintainable applications. This book helps you to understand the power of linked lists, double linked lists, and circular linked lists. You will learn to create complex data structures, such as graphs, stacks, and queues. As you make your way through the chapters, you will explore the application of binary searches and binary search trees, along with learning common techniques and structures used in tasks such as preprocessing, modeling, and transforming data. In the concluding chapters, you will get to grips with organizing your code in a manageable, consistent, and extendable way. You will also study how to bubble sort, selection sort, insertion sort, and merge sort algorithms in detail. By the end of the book, you will have learned how to build components that are easy to understand, debug, and use in different applications. You will get insights into Python implementation of all the important and relevant algorithms. What you will learnUnderstand object representation, attribute binding, and data encapsulationGain a solid understanding of Python data structures using algorithmsStudy algorithms using examples with pictorial representationLearn complex algorithms through easy explanation, implementing PythonBuild sophisticated and efficient data applications in PythonUnderstand common programming algorithms used in Python data scienceWrite efficient and robust code in Python 3.7Who this book is for This book is for developers who want to learn data structures and algorithms in Python to write complex and flexible programs. Basic Python programming knowledge is expected.

Swift Data Structure and Algorithms

Author : Erik Azar
Publisher : Packt Publishing Ltd
ISBN 13 : 1785884654
Total Pages : 280 pages
Book Rating : 4.7/5 (858 download)

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Book Synopsis Swift Data Structure and Algorithms by : Erik Azar

Download or read book Swift Data Structure and Algorithms written by Erik Azar and published by Packt Publishing Ltd. This book was released on 2016-11-18 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the most common algorithms and data structures, and learn how to implement them efficiently using the most up-to-date features of Swift 3 About This Book Develop a deep understanding of the collections in the Swift Standard Library with this step-by-step guide Develop native Swift data structures and algorithms for use in mobile, desktop, and server-based applications Learn about performance efficiency between different data structures and algorithms Who This Book Is For This book is for developers who want to learn how to implement and use common data structures and algorithms natively in Swift. Whether you are a self-taught developer without a formal technical background or you have a degree in Computer Science, this book will provide with the knowledge you need to develop advanced data structures and algorithms in Swift using the latest language features. What You Will Learn Get to know about the basic data structures and how to use the Swift REPL Use the Swift Standard Library collections bridging to Objective-C collections, and find out about protocol-oriented programming Find out about Swift generators and sequences, and see how to use them to implement advanced data structures such as Stack, StackList, Queue, and LinkedList Implement sorting algorithms such as Insertion Sort, Merge Sort, and Quick Sort and understand the performance trade-offs between them See how to implement various binary trees, B-Tree, and Splay Trees Perform advanced searching methods using Red-Black trees, AVL trees, and Trie trees, and take a look at several substring search algorithms Get to know about the data structures used in graphs and how to implement graphs such as depth-first search, breadth-first search, directed graphs, spanning tree, and shortest path Explore algorithm efficiency and see how to measure it In Detail Apple's Swift language has expressive features that are familiar to those working with modern functional languages, but also provides backward support for Objective-C and Apple's legacy frameworks. These features are attracting many new developers to start creating applications for OS X and iOS using Swift. Designing an application to scale while processing large amounts of data or provide fast and efficient searching can be complex, especially running on mobile devices with limited memory and bandwidth. Learning about best practices and knowing how to select the best data structure and algorithm in Swift is crucial to the success of your application and will help ensure your application is a success. That's what this book will teach you. Starting at the beginning, this book will cover the basic data structures and Swift types, and introduce asymptotic analysis. You'll learn about the standard library collections and bridging between Swift and Objective-C collections. You will see how to implement advanced data structures, sort algorithms, work with trees, advanced searching methods, use graphs, and performance and algorithm efficiency. You'll also see how to choose the perfect algorithm for your problem. Style and approach This easy-to-follow yet comprehensive guide can either be read from beginning to end, or depending on your current knowledge level, you can jump to the specific chapter that interests you. Each chapter topic starts with an introduction to the topic and algorithm before moving on to the hands-on implementation and analysis.

Data Structures and Algorithms in Java

Author : Michael T. Goodrich
Publisher : John Wiley & Sons
ISBN 13 : 1118771338
Total Pages : 736 pages
Book Rating : 4.1/5 (187 download)

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Book Synopsis Data Structures and Algorithms in Java by : Michael T. Goodrich

Download or read book Data Structures and Algorithms in Java written by Michael T. Goodrich and published by John Wiley & Sons. This book was released on 2014-01-28 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: The design and analysis of efficient data structures has long been recognized as a key component of the Computer Science curriculum. Goodrich, Tomassia and Goldwasser's approach to this classic topic is based on the object-oriented paradigm as the framework of choice for the design of data structures. For each ADT presented in the text, the authors provide an associated Java interface. Concrete data structures realizing the ADTs are provided as Java classes implementing the interfaces. The Java code implementing fundamental data structures in this book is organized in a single Java package, net.datastructures. This package forms a coherent library of data structures and algorithms in Java specifically designed for educational purposes in a way that is complimentary with the Java Collections Framework.