Data Structures Algorithms In Kotlin First Edition
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Data Structures Algorithms In Kotlin First Edition
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Author : raywenderlich Tutorial Team
language : en
Publisher:
Release Date : 2019-09-18
Data Structures Algorithms In Kotlin First Edition written by raywenderlich Tutorial Team and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-18 with categories.
Data Structures Algorithms In Kotlin Second Edition
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Author : raywenderlich Tutorial Team
language : en
Publisher:
Release Date : 2021-06-30
Data Structures Algorithms In Kotlin Second Edition written by raywenderlich Tutorial Team and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-30 with categories.
Learn Data Structures & Algorithms in Kotlin!Data structures and algorithms are fundamental tools every developer should have. In this book, you'll learn how to implement key data structures in Kotlin, and how to use them to solve a robust set of algorithms.This book is for intermediate Kotlin or Android developers who already know the basics of the language and want to improve their knowledge.Topics Covered in This BookIntroduction to Kotlin: If you're new to Kotlin, you can learn the main constructs and begin writing code.Complexity: When you study algorithms, you need a way to compare their performance in time and space. Learn about the Big-O notation to help you do this.Elementary Data Structures: Learn how to implement Linked List, Stacks, and Queues in Kotlin.Trees: Learn everything you need about Trees - in particular, Binary Trees, AVL Trees, as well as Binary Search and much more.Sorting Algorithms: Sorting algorithms are critical for any developer. Learn to implement the main sorting algorithms, using the tools provided by Kotlin.Graphs: Have you ever heard of Dijkstra and the calculation of the shortest path between two different points? Learn about Graphs and how to use them to solve the most useful and important algorithms.
Hands On Data Structures And Algorithms With Kotlin
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Author : Chandra Sekhar Nayak
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-02-28
Hands On Data Structures And Algorithms With Kotlin written by Chandra Sekhar Nayak and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-28 with Computers categories.
Understand and solve complex computational problems and write efficient code with Kotlin Key FeaturesLearn about important data structures such as lists, arrays, queues, and stacksDesign custom algorithms for real-life implementationsIdentify suitable tools for different scenarios and deliver immediate resultsBook Description Data structures and algorithms are more than just theoretical concepts. They help you become familiar with computational methods for solving problems and writing logical code. Equipped with this knowledge, you can write efficient programs that run faster and use less memory. Hands-On Data Structures and Algorithms with Kotlin book starts with the basics of algorithms and data structures, helping you get to grips with the fundamentals and measure complexity. You'll then move on to exploring the basics of functional programming while getting used to thinking recursively. Packed with plenty of examples along the way, this book will help you grasp each concept easily. In addition to this, you'll get a clear understanding of how the data structures in Kotlin's collection framework work internally. By the end of this book, you will be able to apply the theory of data structures and algorithms to work out real-world problems. What you will learnUnderstand the basic principles of algorithms and data structuresExplore general-purpose data structures with arrays and linked listsGet to grips with the basics of stacks, queues, and double-ended queuesUnderstand functional programming and related data structuresUse performant searching and efficient sortingUncover how Kotlin's collection framework functionsBecome adept at implementing different types of mapsWho this book is for If you're a Kotlin developer who wants to learn the intricacies of implementing data structures and algorithms for scalable application development, this book is for you.
Data Structures Algorithms In Kotlin
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Author : Hemant Jain
language : en
Publisher: Independently Published
Release Date : 2020-07-16
Data Structures Algorithms In Kotlin written by Hemant Jain and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-16 with categories.
"Problem Solving in Data Structures & Algorithms" is a series of books about the usage of Data Structures and Algorithms in computer programming. The book is easy to follow and is written for interview preparation point of view. In these books, the examples are solved in various languages like Go, C, C++, Java, C#, Python, VB, JavaScript and PHP. GitHub Repositories for these books. https: //github.com/Hemant-Jain-Author Book's Composition This book introduces you to the world of data structures and algorithms. Data structures defines the way in which data is arranged in memory for fast and efficient access while algorithms are a set of instruction to solve problems by manipulating these data structures. Designing an efficient algorithm is a very important skill that all software companies, e.g. Microsoft, Google, Facebook etc. pursues. Most of the interviews for these companies are focused on knowledge of data-structures and algorithms. They look for how candidates use concepts of data structures and algorithms to solve complex problems efficiently. Apart from knowing, a programming language you also need to have good command of these key computer fundamentals to not only qualify the interview but also excel in you jobs as a software engineer. This book assumes that you are a C# language developer. You are not an expert in C# language, but you are well familiar with concepts of classes, functions, arrays, pointers and recursion. At the start of this book, we will be looking into Complexity Analysis followed by the various data structures and their algorithms. We will be looking into a Linked-List, Stack, Queue, Trees, Heap, Hash-Table and Graphs. We will also be looking into Sorting, Searching techniques. In last few chapters, we will be looking into various algorithmic techniques. Such as, Brute-Force algorithms, Greedy algorithms, Divide and Conquer algorithms, Dynamic Programming, Reduction and Backtracking. . Table of Contents Chapter 0: How to use this book. Chapter 1: Algorithms Analysis Chapter 2: Approach to solve algorithm design problems Chapter 3: Abstract Data Type & C# Collections Chapter 4: Searching Chapter 5: Sorting Chapter 6: Linked List Chapter 7: Stack Chapter 8: Queue Chapter 9: Tree Chapter 10: Priority Queue Chapter 11: Hash-Table Chapter 12: Graphs Chapter 13: String Algorithms Chapter 14: Algorithm Design Techniques Chapter 15: Brute Force Algorithm Chapter 16: Greedy Algorithm Chapter 17: Divide & Conquer Chapter 18: Dynamic Programming Chapter 19: Backtracking Chapter 20: Complexity Theory
Aj S Guide To Algorithm And Data Structure In C C
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Author : A. J
language : en
Publisher:
Release Date : 2019-10-10
Aj S Guide To Algorithm And Data Structure In C C written by A. J and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-10 with categories.
IntroductionChapter 1: Introduction to algorithm and their typesChapter 2: Performance analysis of an algorithm: Space ComplexityChapter 3: Performance analysis of an algorithm: Time ComplexityChapter 4: Asymptotic NotationsChapter 5: Asymptotic Notation Big OChapter 6: Asymptotic Notation Big Omega and ThetaSorting Algorithms:1: Bubble sort2: Selection Sort3: Insertion Sort4: Merge Sort5: Quick Sort6: Pigeonhole Sort7: 3-Way Quicksort (Dutch National Flag) algorithm8: Cocktail Sort9: Radix Sort10: Bucket Sort11: Counting Sort12: Shell Sort13: Topological sort14: Comb sortSearching Algorithm1: Linear Search2: Binary Search3: Jump Search4: Interpolation Search5: Exponential Search6: Ternary SearchBasic Data Structures:1: Stack Data structure and Implementation using arrays.2: Stack Data structure and Implementation using Linked List.3: Singly Linked List.4: Doubly Linked List [DLL] .5: Circular Singly Linked List.6: Circular Doubly Linked List.7: Queue Data Structure with implementation using arrays.8: Queue Data Structure with implementation using linked list.9: Circular Queues Data structure with Implementation using arrays.10: Circular Queue Data structure with Implementation using Linked List.Trees Data Structure Tutorials:1. Tree Data Structure Introduction2. Introduction to Binary Tree3. Binary Tree Traversal4. Binary Search Tree Introduction5. Implementation of BST6. Implementation of Binary tree7. TRIE Data structure8. Heaps9. Priority Queue10. AVL tree11. Introduction to segment trees12. Performing minimum Range query in Segment Tree and implementation13. Lazy propagation of segment trees14. Fenwick trees and implementationGraph Data Structure Tutorials:1. Graph Introduction2. Graph Representation Adjacency Matrix3. Graph Representation Adjacency List4. Graph Traversal5. Graph Traversal using Stack and Queue6. Bipartite graph7. Graph coloring problem8. Isomorphic Graph9. Euler Graph10. Hamiltonian GraphDifferent types of problem solving technique1. Brute force approach2. Recursion3. Dynamic programming approach4. Backtracking approach5. Greedy approach6. Two pointer approachMinimum Spanning Tree:1. Introduction to minimum spanning tree2. Kruskal's algorithm3. Prims AlgorithmFind shortest path algorithm1. Bellman ford2. Dijkstra's3. Floyd warshallsString matching algorithms1. Knuth Morris Pratt String matching algorithm2. Rabin Karp algorithm3. Boyer-Moore string-search algorithmKnapsack Problem:1. Fractional knapsack2. KnapsackAdditional Problems:1. P, NP, NP hard, NP Complete2. Tower of Hanoi3. Sieve of Eratosthenes4. Kadane Algorithm5. Sliding Window Approach6. Travelling Salesman problem7. Minimum Coin Change Problem8. Total number of ways to get denomination of coins.9. Job Sequencing problem10. Activity Selection Problem11. House Robber ProblemHR Interview questions and tips to answer them1. Expectations on oncoming topics2. Mistakes to avoid in an interview.3. Tell me about yourself4. Why should we hire you?5. Why do you want to work for us?6. What are your greatest strengths and weakness?7. What are your greatest achievements/ accomplishments?8. Any questions for us?9. Where do you want to see yourself in 5 years?10. How to you work under pressure?11. How do you make important decisions?12. What motivates you to do the best on job?13. Do you prefer working alone or in a team?14. What do you know about our company?15. Are you planning for further studies?16. What is your salary expectations?Tips for Developers to improve their skills1. How to prepare for coding interview in 3 months.2. Tips to solve coding interview questions3. How to write a resume for coding interview?4. Tips to become good at programming
Data Structures And Algorithms In Java
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Author : Michael T. Goodrich
language : en
Publisher: John Wiley & Sons
Release Date : 2014-01-28
Data Structures And Algorithms In Java written by Michael T. Goodrich and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-28 with Computers categories.
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.
Programming Kotlin
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Author : Stephen Samuel
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-01-18
Programming Kotlin written by Stephen Samuel and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-18 with Computers categories.
Familiarize yourself with all of Kotlin's features with this in-depth guide About This Book Get a thorough introduction to Kotlin Learn to use Java code alongside Kotlin without any hiccups Get a complete overview of null safety, Generics, and many more interesting features Who This Book Is For The book is for existing Java developers who want to learn more about an alternative JVM language. If you want to see what Kotlin has to offer, this book is ideal for you. What You Will Learn Use new features to write structured and readable object-oriented code Find out how to use lambdas and higher order functions to write clean, reusable, and simple code Write unit tests and integrate Kotlin tests with Java code in a transitioning code base Write real-world production code in Kotlin in the style of microservices Leverage Kotlin's extensions to the Java collections library Use destructuring expressions and find out how to write your own Write code that avoids null pointer errors and see how Java-nullable code can integrate with features in a Kotlin codebase Discover how to write functions in Kotlin, see the new features available, and extend existing libraries Learn to write an algebraic data types and figure out when they should be used In Detail Kotlin has been making waves ever since it was open sourced by JetBrains in 2011; it has been praised by developers across the world and is already being adopted by companies. This book provides a detailed introduction to Kotlin that shows you all its features and will enable you to write Kotlin code to production. We start with the basics: get you familiar with running Kotlin code, setting up, tools, and instructions that you can use to write basic programs. Next, we cover object oriented code: functions, lambdas, and properties – all while using Kotlin's new features. Then, we move on to null safety aspects and type parameterization. We show you how to destructure expressions and even write your own. We also take you through important topics like testing, concurrency, microservices, and a whole lot more. By the end of this book you will be able to compose different services and build your own applications. Style and approach An easy to follow guide that covers the full set of features in Kotlin programming.
Kotlin Standard Library Cookbook
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Author : Samuel Urbanowicz
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-07-30
Kotlin Standard Library Cookbook written by Samuel Urbanowicz and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-30 with Computers categories.
Build optimized applications in Kotlin by learning how to make use of the standard library features the smart way Key Features Get the most out of the Kotlin library to develop high-quality portable applications Explore the powerful support for data processing and I/O operations Discover ways to enhance your Android application development Book Description Given the verbosity of Java, developers have turned to Kotlin for effective software development. The Kotlin standard library provides vital tools that make day-to-day Kotlin programming easier. This library features the core attributes of the language, such as algorithmic problems, design patterns, data processing, and working with files and data streams. The recipes in this book offer coding solutions that can be readily executed. The book covers various topics related to data processing, I/O operations, and collections transformation. We'll walk through effective design patterns in Kotlin and you'll understand how coroutines add new features to JavaScript. As you make your way through the chapters, you'll learn how to implement clean, reusable functions and scalable interfaces containing default implementations. In the concluding chapters, we'll provide recipes on functional programming concepts, such as lambdas, monads, functors, and Kotlin scoping functions. By the end of the book, you'll be able to address a range of problems that Kotlin developers face by implementing easy-to-follow solutions. What you will learn Work with ranges, progressions, and sequences in use cases Add new functionalities to current classes with Kotlin extensions Understand elements such as lambdas, closures, and monads Build a REST API consumer with Retrofit and a coroutine adapter Discover useful tips and solutions for making your Android projects Explore the benefits of standard library features Who this book is for This book is for software developers who are familiar with Kotlin’s basics and want to discover more advanced features and concepts, especially those provided by the Kotlin standard library. It’s also ideal for experienced software developers who are familiar with the functional programming paradigm and other programming languages who want to switch to Kotlin. It will also help Java developers switch to Kotlin and integrate it into existing Java Virtual Machine (JVM) projects.
Reactive Programming In Kotlin
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Author : Rivu Chakraborty
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-12-05
Reactive Programming In Kotlin written by Rivu Chakraborty and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-05 with Computers categories.
Learn how to implement Reactive Programming paradigms with Kotlin, and apply them to web programming with Spring Framework 5.0 and in Android Application Development. About This Book Learn how to solve blocking user experience with Reactive Programming and get deep insights into RxKotlin Integrate Reactive Kotlin with Spring and build fantastic Android Apps with RxKotlin and RxAndroid Build reactive architectures that reduce complexity throughout the development process and make your apps(web and Android) scalable Who This Book Is For This book is for Kotlin developers who would like to build fault-tolerant, scalable, and distributed systems. A basic knowledge of Kotlin is required, but no prior knowledge of reactive programming. What You Will Learn Learn about reactive programming paradigms and how reactive programming can improve your existing projects Gain in-depth knowledge in RxKotlin 2.0 and the ReactiveX Framework Use RxKotlin with Android Create your own custom operators in RxKotlin Use Spring Framework 5.0 with Kotlin Use the reactor-kotlin extension Build Rest APIs with Spring,Hibernate, and RxKotlin Use testSubscriber to test RxKotlin applications Use backpressure management and Flowables In Detail In today's app-driven era, when programs are asynchronous, and responsiveness is so vital, reactive programming can help you write code that's more reliable, easier to scale, and better-performing. Reactive programming is revolutionary. With this practical book, Kotlin developers will first learn how to view problems in the reactive way, and then build programs that leverage the best features of this exciting new programming paradigm. You will begin with the general concepts of Reactive programming and then gradually move on to working with asynchronous data streams. You will dive into advanced techniques such as manipulating time in data-flow, customizing operators and provider and how to Use the concurrency model to control asynchronicity of code and process event handlers effectively. You will then be introduced to functional reactive programming and will learn to apply FRP in practical use cases in Kotlin. This book will also take you one step forward by introducing you to spring 5 and spring boot 2 using Kotlin. By the end of the book, you will be able to build real-world applications with reactive user interfaces as well as you'll learn to implement reactive programming paradigms in Android. Style and Approach Loaded with numerous code examples and real-life projects, this book helps you delve into Reactive Programming with Kotlin, and apply it to real-world Spring-web and Android projects, thus making all your apps reactive.
Data Structures Algorithms In Swift Fourth Edition
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Author : raywenderlich Tutorial Team
language : en
Publisher:
Release Date : 2021-09-15
Data Structures Algorithms In Swift Fourth Edition written by raywenderlich Tutorial Team and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-15 with categories.
Learn Data Structures & Algorithms in Swift!Data structures and algorithms form the basis of computer programming and are the starting point for anyone looking to become a software engineer. Choosing the proper data structure and algorithm involves understanding the many details and trade-offs of using them, which can be time-consuming to learn - and confusing.This is where this book, Data Structures & Algorithms in Swift, comes to the rescue! In this book, you'll learn the nuts and bolts of how fundamental data structures and algorithms work by using easy-to-follow tutorials loaded with illustrations; you'll also learn by working in Swift playground code.Who This Book Is ForThis book is for developers who know the basics of Swift syntax and want a better theoretical understanding of what data structures and algorithms are to build more complex programs or ace a whiteboard interview.Topics Covered in Data Structures & Algorithms in Swift*Basic data structures and algorithms, including stacks, queues and linked lists. *How protocols can be used to generalize algorithms. *How to leverage the algorithms of the Swift standard library with your own data structures. *Trees, tries and graphs. *Building algorithms on top of other primitives. *A complete spectrum of sorting algorithms from simple to advanced. *How to think about algorithmic complexity. *Finding shortest paths, traversals, subgraphs and much more.After reading this book, you'll have a solid foundation on data structures and algorithms and be ready to solve more complex problems in your apps elegantly.