Data Structures Algorithms Using JavaScript

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.

Data Structures   Algorithms Using JavaScript

Author: Hemant Jain

Publisher:

ISBN: 9781075862939

Page: 492

View: 121

Data Structures & Algorithms books by Hemant Jain 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

Learning JavaScript Data Structures and Algorithms

Data structures and algorithms are the base of every solution to any programming problem. With this book, you will learn to write complex and powerful code using the latest ES 2017 features.

Learning JavaScript Data Structures and Algorithms

Author: Loiane Groner

Publisher: Packt Publishing Ltd

ISBN: 1788624947

Page: 426

View: 629

Create classic data structures and algorithms such as depth-first search and breadth-first search, learn recursion, as well as create and use a heap data structure using JavaScript Key Features Implement common data structures and the associated algorithms along with the context in which they are used Master existing JavaScript data structures such as arrays, sets, and maps, and learn how to implement new ones such as stacks, linked lists, trees, and graphs in ES 8 Develop abstract data types to make JavaScript a more flexible and powerful programming language Book Description A data structure is a particular way of organizing data in a computer to utilize resources efficiently. Data structures and algorithms are the base of every solution to any programming problem. With this book, you will learn to write complex and powerful code using the latest ES 2017 features. Learning JavaScript Data Structures and Algorithms begins by covering the basics of JavaScript and introduces you to ECMAScript 2017, before gradually moving on to the most important data structures such as arrays, queues, stacks, and linked lists. You will gain in-depth knowledge of how hash tables and set data structures function as well as how trees and hash maps can be used to search files in an HD or represent a database. This book serves as a route to take you deeper into JavaScript. You’ll also get a greater understanding of why and how graphs, one of the most complex data structures, are largely used in GPS navigation systems in social networks. Toward the end of the book, you’ll discover how all the theories presented in this book can be applied to solve real-world problems while working on your own computer networks and Facebook searches. What you will learn Declare, initialize, add, and remove items from arrays, stacks, and queues Create and use linked lists, doubly linked lists, and circular linked lists Store unique elements with hash tables, dictionaries, and sets Explore the use of binary trees and binary search trees Sort data structures using algorithms such as bubble sort, selection sort, insertion sort, merge sort, and quick sort Search elements in data structures using sequential sort and binary search Who this book is for If you’re a JavaScript developer who wants to dive deep into JavaScript and write complex programs using JavaScript data structures and algorithms, this book is for you.

JavaScript Data Structures and Algorithms

This book and the accompanying code provide that essential foundation for doing so. With JavaScript Data Structures and Algorithms you can start developing your knowledge and applying it to your JavaScript projects today.

JavaScript Data Structures and Algorithms

Author: Sammie Bae

Publisher: Apress

ISBN: 1484239881

Page: 357

View: 546

Explore data structures and algorithm concepts and their relation to everyday JavaScript development. A basic understanding of these ideas is essential to any JavaScript developer wishing to analyze and build great software solutions. You'll discover how to implement data structures such as hash tables, linked lists, stacks, queues, trees, and graphs. You'll also learn how a URL shortener, such as bit.ly, is developed and what is happening to the data as a PDF is uploaded to a webpage. This book covers the practical applications of data structures and algorithms to encryption, searching, sorting, and pattern matching. It is crucial for JavaScript developers to understand how data structures work and how to design algorithms. This book and the accompanying code provide that essential foundation for doing so. With JavaScript Data Structures and Algorithms you can start developing your knowledge and applying it to your JavaScript projects today. What You'll Learn Review core data structure fundamentals: arrays, linked-lists, trees, heaps, graphs, and hash-table Review core algorithm fundamentals: search, sort, recursion, breadth/depth first search, dynamic programming, bitwise operators Examine how the core data structure and algorithms knowledge fits into context of JavaScript explained using prototypical inheritance and native JavaScript objects/data types Take a high-level look at commonly used design patterns in JavaScript Who This Book Is For Existing web developers and software engineers seeking to develop or revisit their fundamental data structures knowledge; beginners and students studying JavaScript independently or via a course or coding bootcamp.

Data Structures and Algorithms with JavaScript

This book covers: Arrays and lists: the most common data structures Stacks and queues: more complex list-like data structures Linked lists: how they overcome the shortcomings of arrays Dictionaries: storing data as key-value pairs Hashing: ...

Data Structures and Algorithms with JavaScript

Author: Michael McMillan

Publisher: "O'Reilly Media, Inc."

ISBN: 1449373968

Page: 250

View: 814

As an experienced JavaScript developer moving to server-side programming, you need to implement classic data structures and algorithms associated with conventional object-oriented languages like C# and Java. This practical guide shows you how to work hands-on with a variety of storage mechanisms—including linked lists, stacks, queues, and graphs—within the constraints of the JavaScript environment. Determine which data structures and algorithms are most appropriate for the problems you’re trying to solve, and understand the tradeoffs when using them in a JavaScript program. An overview of the JavaScript features used throughout the book is also included. This book covers: Arrays and lists: the most common data structures Stacks and queues: more complex list-like data structures Linked lists: how they overcome the shortcomings of arrays Dictionaries: storing data as key-value pairs Hashing: good for quick insertion and retrieval Sets: useful for storing unique elements that appear only once Binary Trees: storing data in a hierarchical manner Graphs and graph algorithms: ideal for modeling networks Algorithms: including those that help you sort or search data Advanced algorithms: dynamic programming and greedy algorithms

Easy Learning Data Structures Algorithms ES6 Javascript

Understand data structures and the associated algorithms, as well as the context in which they are used.Master existing JavaScript data structures such as array, set and map and learn how to implement new ones such as stacks, linked lists, ...

Easy Learning Data Structures   Algorithms ES6 Javascript

Author: Yang Hu

Publisher:

ISBN: 9781070723884

Page: 220

View: 627

Understand data structures and the associated algorithms, as well as the context in which they are used.Master existing JavaScript data structures such as array, set and map and learn how to implement new ones such as stacks, linked lists, trees and graphs.All concepts are explained in an easy way, followed by examples.You will gain an in-depth knowledge of how hash tables and set data structure functions, as well as how trees and hash maps This book is an accessible route deeper into JavaScript. Graphs being one of the most complex data structures you'll encounter.ECMAScript 6 (ES6). This book provides a highly practical look at ES6, This book takes a user-friendly approach to covering ES6 Javascript data structures. 1. Bubble Sorting Algorithm2. Select Sorting Algorithm3. Insert Sorting Algorithm4. Dichotomy Binary Search5. Unidirectional Linked List5.1 Create and Initialization5.2 Add Node5.3 Insert Node5.4 Delete Node6. Doubly Linked List6.1 Create and Initialization6.2 Add Node6.3 Insert Node6.4 Delete Node7. One-way Circular LinkedList7.1 Initialization and Traversal7.2 Insert Node7.3 Delete Node8. Two-way Circular LinkedList8.1 Initialization and Traversal8.2 Insert Node8.3 Delete Node9. Queue10. Stack11. Recursive Algorithm12. Two-way Merge Algorithm13. Quick Sort Algorithm14. Binary Search Tree14.1 Construct a binary search tree14.2 Binary search tree In-order traversal14.3 Binary search tree Pre-order traversal14.4 Binary search tree Post-order traversal14.5 Binary search tree Maximum and minimum14.6 Binary search tree Delete Node15. Binary Heap Sorting16. Hash Table17. Graph17.1 Undirected Graph and Depth-Frst Search17.2 Undirected Graph and Breadth-First Search17.3 Directed Graph and Depth-Frst Search17.4 Directed Graph and Breadth-First Search17.5 Directed Graph Topological Sorting

Hands On Data Structures and Algorithms with JavaScript

Familiarity with data structures and algorithms will be helpful to get the most out of this book.

Hands On Data Structures and Algorithms with JavaScript

Author: Kashyap Mukkamala

Publisher: Packt Publishing Ltd

ISBN: 1788397541

Page: 332

View: 845

Increase your productivity by implementing complex data structures and algorithms using JavaScript Key Features A step by step guide, which will provide you with a thorough discussion on the analysis and design of fundamental JavaScript data structures Get a better understanding of advanced concepts such as space and time complexity to optimize your code Focus more on solving the business problem and less on the technical challenges involved Book Description Data structures and algorithms are the fundamental building blocks of computer programming. They are critical to any problem, provide a complete solution, and act like reusable code. Using appropriate data structures and having a good understanding of algorithm analysis are key in JavaScript to solving crises and ensuring your application is less prone to errors. Do you want to build applications that are high-performing and fast? Are you looking for complete solutions to implement complex data structures and algorithms in a practical way? If either of these questions rings a bell, then this book is for you! You'll start by building stacks and understanding performance and memory implications. You will learn how to pick the right type of queue for the application. You will then use sets, maps, trees, and graphs to simplify complex applications. You will learn to implement different types of sorting algorithm before gradually calculating and analyzing space and time complexity. Finally, you'll increase the performance of your application using micro optimizations and memory management. By the end of the book you will have gained the skills and expertise necessary to create and employ various data structures in a way that is demanded by your project or use case. What you will learn Build custom Back buttons embedded within your application Build part of a basic JavaScript syntax parser and evaluator for an online IDE Build a custom activity user tracker for your application Generate accurate recommendations for credit card approval using Decision Trees Simplify complex problems using a graphs Increase the performance of an application using micro-optimizations Who this book is for If you are a JavaScript developer looking for practical examples to implement data structures and algorithms in your web applications, then this book is for you. Familiarity with data structures and algorithms will be helpful to get the most out of this book.

Learning JavaScript Data Structures and Algorithms Second Edition

Hone your skills by learning classic data structures and algorithms in JavaScriptAbout This Book- Understand common data structures and the associated algorithms, as well as the context in which they are used.

Learning JavaScript Data Structures and Algorithms   Second Edition

Author: Loiane Groner

Publisher: Packt Publishing

ISBN: 9781785285493

Page: 314

View: 978

Hone your skills by learning classic data structures and algorithms in JavaScriptAbout This Book- Understand common data structures and the associated algorithms, as well as the context in which they are used.- Master existing JavaScript data structures such as array, set and map and learn how to implement new ones such as stacks, linked lists, trees and graphs.- All concepts are explained in an easy way, followed by examples.Who This Book Is ForIf you are a student of Computer Science or are at the start of your technology career and want to explore JavaScript's optimum ability, this book is for you. You need a basic knowledge of JavaScript and programming logic to start having fun with algorithms.What You Will Learn- Declare, initialize, add, and remove items from arrays, stacks, and queues- Get the knack of using algorithms such as DFS (Depth-first Search) and BFS (Breadth-First Search) for the most complex data structures- Harness the power of creating linked lists, doubly linked lists, and circular linked lists- Store unique elements with hash tables, dictionaries, and sets- Use binary trees and binary search trees- Sort data structures using a range of algorithms such as bubble sort, insertion sort, and quick sortIn DetailThis book begins by covering basics of the JavaScript language and introducing ECMAScript 7, before gradually moving on to the current implementations of ECMAScript 6. You will gain an in-depth knowledge of how hash tables and set data structure functions, as well as how trees and hash maps can be used to search files in a HD or represent a database. This book is an accessible route deeper into JavaScript. Graphs being one of the most complex data structures you'll encounter, we'll also give you a better understanding of why and how graphs are largely used in GPS navigation systems in social networks.Toward the end of the book, you'll discover how all the theories presented by this book can be applied in real-world solutions while working on your own computer networks and Facebook searches.Style and approachThis book gets straight to the point, providing you with examples of how a data structure or algorithm can be used and giving you real-world applications of the algorithm in JavaScript. With real-world use cases associated with each data structure, the book explains which data structure should be used to achieve the desired results in the real world.

Graphic Javascript Algorithms

This book and the Graphic provide that essential foundation for doing With JavaScript Data Structures and Algorithms.

Graphic Javascript Algorithms

Author: Yang Hu

Publisher:

ISBN:

Page: 247

View: 380

JavaScript structures and algorithm concepts and their relation. JavaScript developer wishing to analyze and build great software solutions. You'll discover how to implement data structures such as hash tables, linked lists, stacks, queues, trees, and graphs. This book covers the practical applications of data structures and algorithms to encryption, searching and sorting.It is crucial for JavaScript developers to understand how data structures work and how to design algorithms. This book and the Graphic provide that essential foundation for doing With JavaScript Data Structures and Algorithms.

Learning JavaScript Data Structures and Algorithms

"Learning JavaScript Data Structures and Algorithms will show you how to organize your code with the most appropriate data structures available to get the job done fast, and in a logical way that is easy to maintain, refactor, and test.

Learning JavaScript Data Structures and Algorithms

Author: Rodrigo Silveira

Publisher:

ISBN:

Page:

View: 112

"Learning JavaScript Data Structures and Algorithms will show you how to organize your code with the most appropriate data structures available to get the job done fast, and in a logical way that is easy to maintain, refactor, and test. By using effective data structures, you can take advantage of advanced algorithms, thus making your web applications more powerful and scalable. You will learn about common software engineering data structures, such as linked-lists, trees, and graphs, and get to know how to implement them in JavaScript. You'll also master ways to use them in various types of algorithms. You will begin by finding out how to build on native JavaScript constructs, and create collections such as maps, queues, stacks, sets, graphs, and other data structures. You will then discover how to develop, analyze, and improve algorithms to search deep trees, lists, and other complex collections, as well as sorting containers of data. This practical course will guide you through a web application development cycle using a structured and disciplined approach, focusing on accuracy and efficiency as you build quality software."--Resource description page.

Learn Data Structures and Algorithms with Golang

Complete with hands-on tutorials, this book will guide you in using the best data structures and algorithms for problem solving. The book begins with an introduction to Go data structures and algorithms.

Learn Data Structures and Algorithms with Golang

Author: Bhagvan Kommadi

Publisher: Packt Publishing Ltd

ISBN: 178961841X

Page: 336

View: 233

Explore Golang's data structures and algorithms to design, implement, and analyze code in the professional setting Key Features Learn the basics of data structures and algorithms and implement them efficiently Use data structures such as arrays, stacks, trees, lists and graphs in real-world scenarios Compare the complexity of different algorithms and data structures for improved code performance Book Description Golang is one of the fastest growing programming languages in the software industry. Its speed, simplicity, and reliability make it the perfect choice for building robust applications. This brings the need to have a solid foundation in data structures and algorithms with Go so as to build scalable applications. Complete with hands-on tutorials, this book will guide you in using the best data structures and algorithms for problem solving. The book begins with an introduction to Go data structures and algorithms. You'll learn how to store data using linked lists, arrays, stacks, and queues. Moving ahead, you'll discover how to implement sorting and searching algorithms, followed by binary search trees. This book will also help you improve the performance of your applications by stringing data types and implementing hash structures in algorithm design. Finally, you'll be able to apply traditional data structures to solve real-world problems. By the end of the book, you'll have become adept at implementing classic data structures and algorithms in Go, propelling you to become a confident Go programmer. What you will learn Improve application performance using the most suitable data structure and algorithm Explore the wide range of classic algorithms such as recursion and hashing algorithms Work with algorithms such as garbage collection for efficient memory management Analyze the cost and benefit trade-off to identify algorithms and data structures for problem solving Explore techniques for writing pseudocode algorithm and ace whiteboard coding in interviews Discover the pitfalls in selecting data structures and algorithms by predicting their speed and efficiency Who this book is for This book is for developers who want to understand how to select the best data structures and algorithms that will help solve coding problems. Basic Go programming experience will be an added advantage.

Problem Solving in Data Structures and Algorithms Using Java

GitHub Repositories https: //github.com/Hemant-Jain-Author Book's Composition This book is designed for interviews so in Chapter 0, various preparation plans are proposed.

Problem Solving in Data Structures and Algorithms Using Java

Author: Hemant Jain

Publisher: Createspace Independent Publishing Platform

ISBN: 9781539724124

Page: 436

View: 657

This book is about the usage of Data Structures and Algorithms in computer programming. Designing an efficient algorithm to solve a computer science problem is a skill of Computer programmer. This is the skill which tech companies like Google, Amazon, Microsoft, Adobe and many others are looking for in an interview. This book assumes that you are a JAVA language developer. You are not an expert in JAVA language, but you are well familiar with concepts of references, functions, lists and recursion. In the start of this book, we will be revising the JAVA language fundamentals. We will be looking into some of the problems in arrays and recursion too. Then in the coming chapter, we will be looking into complexity analysis. Then will look into 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 be looking into Sorting & Searching techniques. Then we will be looking into algorithm analysis, we will be looking into Brute Force algorithms, Greedy algorithms, Divide & Conquer algorithms, Dynamic Programming, Reduction, and Backtracking. In the end, we will be looking into System Design, which will give a systematic approach for solving the design problems in an Interview.

Problem Solving in Data Structures Algorithms Using Python

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.

Problem Solving in Data Structures   Algorithms Using Python

Author: Hemant Jain

Publisher: Independently Published

ISBN: 9781098963231

Page: 410

View: 767

"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

Problem Solving in Data Structures and Algorithms Using C

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.

Problem Solving in Data Structures and Algorithms Using C

Author: Hemant Jain

Publisher: Independently Published

ISBN: 9781730953552

Page: 554

View: 388

"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

PHP 7 Data Structures and Algorithms

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 ...

PHP 7 Data Structures and Algorithms

Author: Mizanur Rahman

Publisher: Packt Publishing Ltd

ISBN: 1786463571

Page: 340

View: 644

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 Algorithms In Go

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.

Data Structures   Algorithms In Go

Author: Hemant Jain

Publisher: Independently Published

ISBN: 9781099552069

Page: 446

View: 310

Data Structures & Algorithms books by Hemant Jain 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 Theor

Algorithms JavaScript

This book is rich in examples, with beautiful pictures and texts, and explains the data structure and algorithms in a way that is easy to understand.

Algorithms JavaScript

Author: Yang Hu

Publisher: Independently Published

ISBN:

Page: 238

View: 498

This book is rich in examples, with beautiful pictures and texts, and explains the data structure and algorithms in a way that is easy to understand. It is designed to help programmers better use the energy of algorithms in daily projects.1. Classic reference book in the field of algorithms: reflects the core knowledge system of algorithms2. Comprehensive content: Comprehensive discussion of sorting, linked list, search, hash, graph and tree algorithms and data structures, covering the algorithms commonly used by every programmer3. The new JavaScript implementation code, using a modular programming style, gives the actual code of the algorithm.Simple is the beginning of wisdom. From the essence of practice, this book to briefly explain the concept and vividly cultivate programming interest, you will learn it easy, fast and well

Programming with JavaScript Algorithms and Applications for Desktop and Mobile Browsers

Designed specifically for the CS-1 Introductory Programming Course, "Programming with JavaScript: Algorithms and Applications for Desktop and Mobile Browsers" introduces students to computer science and programming using a modern approach.

Programming with JavaScript  Algorithms and Applications for Desktop and Mobile Browsers

Author: John David Dionisio

Publisher: Jones & Bartlett Publishers

ISBN: 076378060X

Page: 694

View: 756

Designed specifically for the CS-1 Introductory Programming Course, "Programming with JavaScript: Algorithms and Applications for Desktop and Mobile Browsers" introduces students to computer science and programming using a modern approach.

Data Structures and Algorithms Using Swift

GitHub Repositories https://github.com/Hemant-Jain-Author Book's Composition This book is designed for interviews so in Chapter 0, various preparation plans are proposed.

Data Structures and Algorithms Using Swift

Author: Hemant Jain

Publisher:

ISBN: 9781980722526

Page: 355

View: 956

"Data Structures & Algorithms using Swift" is a part of 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 various books, the examples are solved in various languages like Go, C, C++, Java, C#, Python, Swift, Ruby, VB, JavaScript and PHP. GitHub Repositories https://github.com/Hemant-Jain-Author Book's Composition This book is designed for interviews so in Chapter 0, various preparation plans are proposed. Then in chapters 1, a brief introduction of the programming language and concept of recursion is explained. A number of problems based on recursion and array are explained. Then in the coming chapter, we will be looking into complexity analysis. Then we will be looking into Sorting & Searching techniques. Then will look into the various data structures and their algorithms. We will be looking into a Linked List, Stack, Queue, Trees, Heap, Hash Table and Graphs. Then we will be looking into algorithm analysis, we will be looking into Brute Force algorithms, Greedy algorithms, Divide & Conquer algorithms, Dynamic Programming, and Backtracking. In the end, we will be looking into System Design, which will give a systematic approach for solving the design problems in an Interview. 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 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 Chapter 21: Interview Strategy

Problem Solving in Data Structures Algorithms Using C

GitHub Repositories https: //github.com/Hemant-Jain-Author Book's Composition This book is designed for interviews so in Chapter 0, various preparation plans are proposed.

Problem Solving in Data Structures   Algorithms Using C

Author: MR Hemant Jain

Publisher:

ISBN: 9789352655915

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View: 441

This book is about the usage of data structures and algorithms in computer programming. Designing an efficient algorithm to solve a computer science problem is a skill of Computer programmer. This is the skill which tech companies like Google, Amazon, Microsoft, Adobe and many others are looking for in an interview. Once we are comfortable with a programming language the next step is to learn how to write efficient algorithms. 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 pointers, functions, arrays and recursion. In the start of this book, we will be revising the C language fundamentals that will be used throughout this book. We will be looking into some of the problems in arrays and recursion too. Then in the coming chapter, we will be looking into complexity analysis. Then will look into 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 be looking into sorting, searching techniques. Then we will be looking into algorithm analysis, we will be looking into brute force algorithms, greedy algorithms, divide and conquer algorithms, dynamic programming, reduction and back tracking. In the end, we will be looking into system design which will give a systematic approach for solving the design problems in an Interview.