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Book PHP 7 Data Structures and Algorithms

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.

Book PHP 7 Data Structures and Algorithms

Download or read book PHP 7 Data Structures and Algorithms written by Mizanur Rahman and published by . This book was released on 2017-02-28 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: Increase your productivity by implementing data structuresAbout 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 structuresWho This Book Is ForThis 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 requiredWhat 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 algorithmsIn DetailPHP 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. This book will explore the data structures and their practical usage in real-life projects.We will take you through several methods of finding efficient algorithms and show you which ones you should implement in each scenario. We will guide you through day-to-day problems you might face and how you can overcome them. In addition to this, we explore the possibilities of functional data structures using PHP. We will also go through advanced algorithms and graphs as well as dynamic programming.This book will give you the confidence to tackle both basic and advanced data structures, understand how they work, and know when to use them in your day-to-day work

Book Data Structures   Algorithms Using Php 7

    Book Details:
  • Author : Hemant Jain
  • Publisher : Createspace Independent Publishing Platform
  • Release : 2017-04-28
  • ISBN : 9781546375357
  • Pages : 404 pages

Download or read book Data Structures Algorithms Using Php 7 written by Hemant Jain and published by Createspace Independent Publishing Platform. This book was released on 2017-04-28 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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 various books, the examples are solved in various languages like C, C++, Java, C#, Python, VB, JavaScript and PHP. 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: Introduction - Programming Overview Chapter 2: Algorithms Analysis Chapter 3: Approach to solve algorithm design problems Chapter 4: Abstract Data Type Chapter 5: Searching Chapter 6: Sorting Chapter 7: Linked List Chapter 8: Stack Chapter 9: Queue Chapter 10: Tree Chapter 11: Priority Queue Chapter 12: Hash-Table Chapter 13: Graphs Chapter 14: String Algorithms Chapter 15: Algorithm Design Techniques Chapter 16: Brute Force Algorithm Chapter 17: Greedy Algorithm Chapter 18: Divide & Conquer Chapter 19: Dynamic Programming Chapter 20: Backtracking Chapter 21: Complexity Theory Chapter 22: Interview Strategy Chapter 23: System Design

Book Beginning Java Data Structures and Algorithms

Download or read book Beginning Java Data Structures and Algorithms written by James Cutajar and published by Packt Publishing Ltd. This book was released on 2018-07-30 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: Though your application serves its purpose, it might not be a high performer. Learn techniques to accurately predict code efficiency, easily dismiss inefficient solutions, and improve the performance of your application. Key Features Explains in detail different algorithms and data structures with sample problems and Java implementations where appropriate Includes interesting tips and tricks that enable you to efficiently use algorithms and data structures Covers over 20 topics using 15 practical activities and exercises Book Description Learning about data structures and algorithms gives you a better insight on how to solve common programming problems. Most of the problems faced everyday by programmers have been solved, tried, and tested. By knowing how these solutions work, you can ensure that you choose the right tool when you face these problems. This book teaches you tools that you can use to build efficient applications. It starts with an introduction to algorithms and big O notation, later explains bubble, merge, quicksort, and other popular programming patterns. You’ll also learn about data structures such as binary trees, hash tables, and graphs. The book progresses to advanced concepts, such as algorithm design paradigms and graph theory. By the end of the book, you will know how to correctly implement common algorithms and data structures within your applications. What you will learn Understand some of the fundamental concepts behind key algorithms Express space and time complexities using Big O notation. Correctly implement classic sorting algorithms such as merge and quicksort Correctly implement basic and complex data structures Learn about different algorithm design paradigms, such as greedy, divide and conquer, and dynamic programming Apply powerful string matching techniques and optimize your application logic Master graph representations and learn about different graph algorithms Who this book is for If you want to better understand common data structures and algorithms by following code examples in Java and improve your application efficiency, then this is the book for you. It helps to have basic knowledge of Java, mathematics and object-oriented programming techniques.

Book Learn PHP 7

    Book Details:
  • Author : Steve Prettyman
  • Publisher : Apress
  • Release : 2015-12-29
  • ISBN : 1484217306
  • Pages : 308 pages

Download or read book Learn PHP 7 written by Steve Prettyman and published by Apress. This book was released on 2015-12-29 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new book on PHP 7 introduces writing solid, secure, object-oriented code in the new PHP 7: you will create a complete three-tier application using a natural process of building and testing modules within each tier. This practical approach teaches you about app development and introduces PHP features when they are actually needed rather than providing you with abstract theory and contrived examples. In Learn PHP 7, programming examples take advantage of the newest PHP features, including enhanced password encryption using password_hash. This book takes a learn-by-doing approach, providing you with complete coding examples. "Do It" exercises in each chapter provide the opportunity to make adjustments to the example code. The end of chapter programming exercises allow you to develop your own applications using the algorithms demonstrated in the chapter. Each tier is logically and physically separated using object-oriented and dependency injection techniques, thus allowing independent tiers that can be updated with little or no effect on the other tiers. In addition to teaching good programming practices through OOP, there is a strong emphasis on creating secure code. As each chapter is completed, the reader is provide the opportunity to design and create an application reinforcing the concepts learned.

Book Open Data Structures

    Book Details:
  • Author : Pat Morin
  • Publisher : Athabasca University Press
  • Release : 2013
  • ISBN : 1927356385
  • Pages : 336 pages

Download or read book Open Data Structures written by Pat Morin and published by Athabasca University Press. This book was released on 2013 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction -- Array-based lists -- Linked lists -- Skiplists -- Hash tables -- Binary trees -- Random binary search trees -- Scapegoat trees -- Red-black trees -- Heaps -- Sorting algorithms -- Graphs -- Data structures for integers -- External memory searching.

Book Mastering PHP 7

    Book Details:
  • Author : Branko Ajzele
  • Publisher : Packt Publishing Ltd
  • Release : 2017-06-27
  • ISBN : 178588994X
  • Pages : 524 pages

Download or read book Mastering PHP 7 written by Branko Ajzele and published by Packt Publishing Ltd. This book was released on 2017-06-27 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: Effective, readable, and robust codes in PHP About This Book Leverage the newest tools available in PHP 7 to build scalable applications Embrace serverless architecture and the reactive programming paradigm, which are the latest additions to the PHP ecosystem Explore dependency injection and implement design patterns to write elegant code Who This Book Is For This book is for intermediate level developers who want to become a master of PHP. Basic knowledge of PHP is required across areas such as basic syntax, types, variables, constants, expressions, operators, control structures, and functions. What You Will Learn Grasp the current state of PHP language and the PHP standards Effectively implement logging and error handling during development Build services through SOAP and REST and Apache Trift Get to know the benefits of serverless architecture Understand the basic principles of reactive programming to write asynchronous code Practically implement several important design patterns Write efficient code by executing dependency injection See the working of all magic methods Handle the command-line area tools and processes Control the development process with proper debugging and profiling In Detail PHP is a server-side scripting language that is widely used for web development. With this book, you will get a deep understanding of the advanced programming concepts in PHP and how to apply it practically The book starts by unveiling the new features of PHP 7 and walks you through several important standards set by PHP Framework Interop Group (PHP-FIG). You'll see, in detail, the working of all magic methods, and the importance of effective PHP OOP concepts, which will enable you to write effective PHP code. You will find out how to implement design patterns and resolve dependencies to make your code base more elegant and readable. You will also build web services alongside microservices architecture, interact with databases, and work around third-party packages to enrich applications. This book delves into the details of PHP performance optimization. You will learn about serverless architecture and the reactive programming paradigm that found its way in the PHP ecosystem. The book also explores the best ways of testing your code, debugging, tracing, profiling, and deploying your PHP application. By the end of the book, you will be able to create readable, reliable, and robust applications in PHP to meet modern day requirements in the software industry. Style and approach This is a comprehensive, step-by-step practical guide to developing scalable applications using PHP 7.1

Book PHP 7 Data Structures and Algorithms Complete Self Assessment Guide

Download or read book PHP 7 Data Structures and Algorithms Complete Self Assessment Guide written by Gerardus Blokdyk and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: PHP 7 Data Structures and Algorithms Complete Self-Assessment Guide.

Book Problem Solving in Data Structures and Algorithms Using Java

Download or read book Problem Solving in Data Structures and Algorithms Using Java written by Hemant Jain and published by Createspace Independent Publishing Platform. This book was released on 2016-10-21 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book A Common Sense Guide to Data Structures and Algorithms  Second Edition

Download or read book A Common Sense Guide to Data Structures and Algorithms Second Edition written by Jay Wengrow and published by Pragmatic Bookshelf. This book was released on 2020-08-10 with total page 714 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for today’s web and mobile apps. Take a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use in your daily production code, with examples in JavaScript, Python, and Ruby. This new and revised second edition features new chapters on recursion, dynamic programming, and using Big O in your daily work. Use Big O notation to measure and articulate the efficiency of your code, and modify your algorithm to make it faster. Find out how your choice of arrays, linked lists, and hash tables can dramatically affect the code you write. Use recursion to solve tricky problems and create algorithms that run exponentially faster than the alternatives. Dig into advanced data structures such as binary trees and graphs to help scale specialized applications such as social networks and mapping software. You’ll even encounter a single keyword that can give your code a turbo boost. Practice your new skills with exercises in every chapter, along with detailed solutions. Use these techniques today to make your code faster and more scalable.

Book Learn Data Structures and Algorithms with Golang

Download or read book Learn Data Structures and Algorithms with Golang written by Bhagvan Kommadi and published by Packt Publishing Ltd. This book was released on 2019-03-30 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore Golang's data structures and algorithms to design, implement, and analyze code in the professional setting Key FeaturesLearn the basics of data structures and algorithms and implement them efficientlyUse data structures such as arrays, stacks, trees, lists and graphs in real-world scenariosCompare the complexity of different algorithms and data structures for improved code performanceBook 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 learnImprove application performance using the most suitable data structure and algorithmExplore the wide range of classic algorithms such as recursion and hashing algorithmsWork 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 solvingExplore techniques for writing pseudocode algorithm and ace whiteboard coding in interviewsDiscover the pitfalls in selecting data structures and algorithms by predicting their speed and efficiencyWho 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.

Book Problem Solving with Algorithms and Data Structures Using Python

Download or read book Problem Solving with Algorithms and Data Structures Using Python written by Bradley N. Miller and published by Franklin Beedle & Associates. This book was released on 2011 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thes book has three key features : fundamental data structures and algorithms; algorithm analysis in terms of Big-O running time in introducied early and applied throught; pytohn is used to facilitates the success in using and mastering data strucutes and algorithms.

Book PHP 7  Real World Application Development

Download or read book PHP 7 Real World Application Development written by Doug Bierer and published by Packt Publishing Ltd. This book was released on 2016-09-30 with total page 1091 pages. Available in PDF, EPUB and Kindle. Book excerpt: Use new features of PHP 7 to solve practical, real-world problems faced by PHP developers like yourself every day. About This Book This course covers the new features of version 7.x, best practices for server-side programming, and MVC frameworks Leverage the potential of PHP for server-side programming, memory management, and Object-Oriented Programming to improve your programming productivity This course also illustrates the development of a complete modular application using PHP 7 in detail Who This Book Is For If you are an aspiring web developer, mobile developer, or back-end programmer, who has basic experience in PHP programming and wants to develop performance-critical applications, then this course is for you. It will take your PHP programming skills to next level. What You Will Learn Solve practical real-world programming problems using PHP 7 Discover where and when PHP 5 code needs to be re-written to avoid backwards-compatibility breaks Use advanced PHP 7 features such as the Abstract Syntax Tree, Uniform Variable Syntax, Scalar Type Hints, Generator Delegation, Anonymous Classes, and the Context Sensitive Lexer Set up a high performance development and production environment for PHP 7 Discover new OOP features in PHP 7 to achieve high performance Discover the new features of PHP 7 that are relevant to modular application development Explore the ins and outs of the Symfony framework Build a set of modules based on the Symfony framework that comprise a simple web shop app In Detail PHP is a great language for developing web applications. It is essentially a server-side scripting language. PHP 7 is the latest version, providing major backward-compatibility breaks and focusing on improved performance and speed. This course follows a learning path which is divided into three modules. Each module is a mini course in its own right, taking your basic PHP programing skills to the next level by showing you intermediate to advanced PHP techniques with a focus on PHP 7. This way, get you equipped with the tools and skills required to develop professional and efficient applications for your websites and enterprises. The first module of the book is a programming cookbook that consists over 80 recipes! Each recipe is designed to solve practical, real-world problems faced by PHP developers like yourself every day. This course also covers new ways of writing PHP code made possible only in version 7. The second module of the course is designed to improve the performance and productivity of your application. We'll introduce you to the concepts of Object-Oriented Programming (OOP) in PHP 7, then shed some light on how to improve the performance of your PHP 7 applications and database. Throughout this module you will be introduced to benchmarking tools. With all important concepts of PHP covered up you will move on to third module. In this module you will gain a deep insight into the modular programming paradigm and how to achieve modularity in your PHP code. Modular design techniques help you build readable, manageable, reusable, and more efficient codes. PHP 7, which is a popular open source scripting language, is used to build modular functions for your software. This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products: PHP 7 Programming Cookbook, Doug Bierer Learning PHP 7 High Performance, Altaf Hussain Modular Programming with PHP 7, Branko Ajzele Style and approach This book takes a practical, step-by-step approach with real-world examples that serve as building blocks for your application development and guide you through improving the quality of your code.

Book Mastering Algorithms with C

Download or read book Mastering Algorithms with C written by Kyle Loudon and published by "O'Reilly Media, Inc.". This book was released on 1999 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: Implementations, as well as interesting, real-world examples of each data structure and algorithm, are shown in the text. Full source code appears on the accompanying disk.

Book Genetic Programming and Data Structures

Download or read book Genetic Programming and Data Structures written by W.B. Langdon and published by Springer Science & Business Media. This book was released on 1998-04-30 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computers that `program themselves' has long been an aim of computer scientists. Recently genetic programming (GP) has started to show its promise by automatically evolving programs. Indeed in a small number of problems GP has evolved programs whose performance is similar to or even slightly better than that of programs written by people. The main thrust of GP has been to automatically create functions. While these can be of great use they contain no memory and relatively little work has addressed automatic creation of program code including stored data. This issue is the main focus of Genetic Programming, and Data Structures: Genetic Programming + Data Structures = Automatic Programming!. This book is motivated by the observation from software engineering that data abstraction (e.g., via abstract data types) is essential in programs created by human programmers. This book shows that abstract data types can be similarly beneficial to the automatic production of programs using GP. Genetic Programming and Data Structures: Genetic Programming + Data Structures = Automatic Programming! shows how abstract data types (stacks, queues and lists) can be evolved using genetic programming, demonstrates how GP can evolve general programs which solve the nested brackets problem, recognises a Dyck context free language, and implements a simple four function calculator. In these cases, an appropriate data structure is beneficial compared to simple indexed memory. This book also includes a survey of GP, with a critical review of experiments with evolving memory, and reports investigations of real world electrical network maintenance scheduling problems that demonstrate that Genetic Algorithms can find low cost viable solutions to such problems. Genetic Programming and Data Structures: Genetic Programming + Data Structures = Automatic Programming! should be of direct interest to computer scientists doing research on genetic programming, genetic algorithms, data structures, and artificial intelligence. In addition, this book will be of interest to practitioners working in all of these areas and to those interested in automatic programming.

Book PHP Objects  Patterns and Practice

Download or read book PHP Objects Patterns and Practice written by Matt Zandstra and published by Apress. This book was released on 2010-12-28 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book takes you beyond the PHP basics to the enterprise development practices used by professional programmers. Updated for PHP 5.3 with new sections on closures, namespaces, and continuous integration, this edition will teach you about object features such as abstract classes, reflection, interfaces, and error handling. You’ll also discover object tools to help you learn more about your classes, objects, and methods. Then you’ll move into design patterns and the principles that make patterns powerful. You’ll learn both classic design patterns and enterprise and database patterns with easy-to-follow examples. Finally, you’ll discover how to put it all into practice to help turn great code into successful projects. You’ll learn how to manage multiple developers with Subversion, and how to build and install using Phing and PEAR. You’ll also learn strategies for automated testing and building, including continuous integration. Taken together, these three elements—object fundamentals, design principles, and best practices—will help you develop elegant and rock-solid systems.

Book Data Structures and Algorithms with JavaScript

Download or read book Data Structures and Algorithms with JavaScript written by Michael McMillan and published by "O'Reilly Media, Inc.". This book was released on 2014-03-10 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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