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Absolute Beginner's Guide to Algorithms

Author : Kirupa Chinnathambi

Publisher : Addison-Wesley Professional

Page : 663 pages

File Size : 28,10 MB

Release : 2023-12-08

Category : Computers

ISBN : 0138222509

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Book Description

A hands-on, easy-to-comprehend guide that is perfect for anyone who needs to understand algorithms. With the explosive growth in the amount of data and the diversity of computing applications, efficient algorithms are needed now more than ever. Programming languages come and go, but the core of programming--algorithms and data structures--remains the same. Absolute Beginner's Guide to Algorithms is the fastest way to learn algorithms and data structures. Using helpful diagrams and fully annotated code samples in Javascript, you will start with the basics and gradually go deeper and broader into all the techniques you need to organize your data. Start fast with data structures basics: arrays, stacks, queues, trees, heaps, and more Walk through popular search, sort, and graph algorithms Understand Big-O notation and why some algorithms are fast and why others are slow Balance theory with practice by playing with the fully functional JavaScript implementations of all covered data structures and algorithms Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.



JavaScript Absolute Beginner's Guide

Author : Kirupa Chinnathambi

Publisher : Que Publishing

Page : 678 pages

File Size : 43,90 MB

Release : 2019-12-23

Category : Computers

ISBN : 013620435X

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Book Description

Who knew how simple using JavaScript could be? Make the most of JavaScript—even if you've never programmed anything before. JavaScript Absolute Beginner's Guide is the fastest way to learn JavaScript and use it together with CSS3 and HTML5 to create powerful web and mobile experiences. Learn how to do what you want, the way you want, one incredibly easy step at a time. JavaScript has never been this simple! Here's a small sample of what you'll learn: • Organize your code with variables • Understand how functions make your code reusable • Use the popular if/else statement to help make a decision in code • Learn about switch statements and when to use them • Work with for, while, and do...while loops • Learn how to use global and local scope • Understand what closures are • Learn about the various places your code can live • Understand how to write comments and use good commenting practices • Learn about the basic types of objects you'll run into in JavaScript • Find out that pizza has an educational value beyond just being deliciously awesome • Learn how to perform common string operations • Use arrays to handle lists of data • Learn to create custom objects • Get up to speed on some of the big ES6 changes



Real-World Algorithms

Author : Panos Louridas

Publisher : MIT Press

Page : 527 pages

File Size : 35,89 MB

Release : 2017-03-17

Category : Computers

ISBN : 0262035707

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Book Description

An introduction to algorithms for readers with no background in advanced mathematics or computer science, emphasizing examples and real-world problems. Algorithms are what we do in order not to have to do something. Algorithms consist of instructions to carry out tasks—usually dull, repetitive ones. Starting from simple building blocks, computer algorithms enable machines to recognize and produce speech, translate texts, categorize and summarize documents, describe images, and predict the weather. A task that would take hours can be completed in virtually no time by using a few lines of code in a modern scripting program. This book offers an introduction to algorithms through the real-world problems they solve. The algorithms are presented in pseudocode and can readily be implemented in a computer language. The book presents algorithms simply and accessibly, without overwhelming readers or insulting their intelligence. Readers should be comfortable with mathematical fundamentals and have a basic understanding of how computers work; all other necessary concepts are explained in the text. After presenting background in pseudocode conventions, basic terminology, and data structures, chapters cover compression, cryptography, graphs, searching and sorting, hashing, classification, strings, and chance. Each chapter describes real problems and then presents algorithms to solve them. Examples illustrate the wide range of applications, including shortest paths as a solution to paragraph line breaks, strongest paths in elections systems, hashes for song recognition, voting power Monte Carlo methods, and entropy for machine learning. Real-World Algorithms can be used by students in disciplines from economics to applied sciences. Computer science majors can read it before using a more technical text.



Introduction to Algorithms, third edition

Author : Thomas H. Cormen

Publisher : MIT Press

Page : 1313 pages

File Size : 39,80 MB

Release : 2009-07-31

Category : Computers

ISBN : 0262258102

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Book Description

The latest edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-based flow. Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor. The first edition became a widely used text in universities worldwide as well as the standard reference for professionals. The second edition featured new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming. The third edition has been revised and updated throughout. It includes two completely new chapters, on van Emde Boas trees and multithreaded algorithms, substantial additions to the chapter on recurrence (now called “Divide-and-Conquer”), and an appendix on matrices. It features improved treatment of dynamic programming and greedy algorithms and a new notion of edge-based flow in the material on flow networks. Many exercises and problems have been added for this edition. The international paperback edition is no longer available; the hardcover is available worldwide.



Machine Learning

Author : Hein Smith

Publisher : Createspace Independent Publishing Platform

Page : 0 pages

File Size : 13,30 MB

Release : 2018-06-29

Category : Machine learning

ISBN : 9781722120566

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Book Description

Just about anyone with the slightest bit of interest in modern technology is looking to learn more about Machine Learning. This innovative new form of computer programming is the primary tool that makes it possible for a machine to perform a wide range of tasks for you that could range from recommending a good movie to driving you to work every day. No doubt, it is the tech of the future. But it is also a subject that can literally boggle the mind. If you're not already deep into the terminology and techniques of this wildly exciting new industry, finding information on it written in basic layman's terms can be tough. Most of the books on the topic assume that you have at least a fundamental knowledge of the subject. If you're interested in getting a better grasp at just how this new technology works and what it means for the masses then this is the book for you. Here you will learn: what Machine learning truly is What are Neural networks How it applies to Deep Learning What are algorithms and how are they used And some of the many applications that Machine learning is already using All of it in very basic simple English so you won't need a special coding degree to understand it. Here, we discuss all the basic entry-level topics needed for the absolute amateur so you can start to make sense of this highly innovative technological advancement. Machine Learning is becoming an increasingly powerful tool that will have an impact on every aspect of our lives in the future. So, whether you need to find good product recommendations to meet your needs or you want to go all out and live in your own smart home, machine learning will be at the core of it. This book will make it easier to grasp the concepts behind it and get you started on a path that leads to a very bright future. If you're ready to have a tool that breaks down this complex topic in simple language then this is your chance. Download your copy now so you can get started on what is promising to be a most amazing future.



Algorithmic Puzzles

Author : Anany Levitin

Publisher : OUP USA

Page : 280 pages

File Size : 21,48 MB

Release : 2011-10-14

Category : Computers

ISBN : 0199740445

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Book Description

Algorithmic puzzles are puzzles involving well-defined procedures for solving problems. This book will provide an enjoyable and accessible introduction to algorithmic puzzles that will develop the reader's algorithmic thinking. The first part of this book is a tutorial on algorithm design strategies and analysis techniques. Algorithm design strategies — exhaustive search, backtracking, divide-and-conquer and a few others — are general approaches to designing step-by-step instructions for solving problems. Analysis techniques are methods for investigating such procedures to answer questions about the ultimate result of the procedure or how many steps are executed before the procedure stops. The discussion is an elementary level, with puzzle examples, and requires neither programming nor mathematics beyond a secondary school level. Thus, the tutorial provides a gentle and entertaining introduction to main ideas in high-level algorithmic problem solving. The second and main part of the book contains 150 puzzles, from centuries-old classics to newcomers often asked during job interviews at computing, engineering, and financial companies. The puzzles are divided into three groups by their difficulty levels. The first fifty puzzles in the Easier Puzzles section require only middle school mathematics. The sixty puzzle of average difficulty and forty harder puzzles require just high school mathematics plus a few topics such as binary numbers and simple recurrences, which are reviewed in the tutorial. All the puzzles are provided with hints, detailed solutions, and brief comments. The comments deal with the puzzle origins and design or analysis techniques used in the solution. The book should be of interest to puzzle lovers, students and teachers of algorithm courses, and persons expecting to be given puzzles during job interviews.



Algorithms, Part II

Author : Robert Sedgewick

Publisher : Addison-Wesley Professional

Page : 973 pages

File Size : 44,61 MB

Release : 2014-02-01

Category : Computers

ISBN : 0133847268

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Book Description

This book is Part II of the fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms, the leading textbook on algorithms today, widely used in colleges and universities worldwide. Part II contains Chapters 4 through 6 of the book. The fourth edition of Algorithms surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing -- including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts. The companion web site, algs4.cs.princeton.edu contains An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material The MOOC related to this book is accessible via the "Online Course" link at algs4.cs.princeton.edu. The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience.



Python and Algorithmic Thinking for the Complete Beginner

Author : Aristides Bouras

Publisher : Packt Publishing Ltd

Page : 908 pages

File Size : 45,52 MB

Release : 2024-06-14

Category : Computers

ISBN : 1836209266

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Book Description

Unlock the power of Python with this comprehensive guide, “Python and Algorithmic Thinking for the Complete Beginner.” It covers everything from computer basics to advanced decision and loop control structures. Key Features Comprehensive coverage from basic computer operations to advanced programming concepts Step-by-step progression of each topic, along with tips and tricks to enhance coding efficiency In-depth exploration of Python and algorithmic thinking with exercises and practical examples Book DescriptionThis course is meticulously designed to take beginners on a journey through the fascinating world of Python programming and algorithmic thinking. The initial chapters lay a strong foundation, starting with the basics of how computers operate, moving into Python programming, and familiarizing learners with integrated development environments like IDLE and Visual Studio Code. Further, the course delves into essential programming constructs such as variables, constants, input/output handling, and operators. You'll gain practical experience with trace tables, sequence control structures, and decision control structures through comprehensive exercises and examples. The curriculum emphasizes hands-on learning with chapters dedicated to manipulating numbers, strings, and understanding complex mathematical expressions. By mastering these concepts, you'll be well-prepared to tackle more advanced topics. The final chapters introduce you to object-oriented programming and file manipulation, rounding out your skill set. Throughout the course, practical tips and tricks are provided to enhance your coding efficiency and problem-solving skills. By the end of this course, you will have a robust understanding of Python programming and the ability to apply algorithmic thinking to solve real-world problems.What you will learn Understand how computers work and the basics of Python programming Install and use integrated development environments (IDEs) Develop skills in decision and loop control structures Manipulate data using lists, dictionaries, and strings Apply algorithmic thinking to solve complex problems Gain proficiency in object-oriented programming & file manipulation Who this book is for This course is ideal for absolute beginners with no prior programming experience. Basic computer literacy is required, but no specific knowledge of programming or algorithms is necessary. It is also suitable for individuals looking to refresh their Python skills and enhance their understanding of algorithmic thinking. High school and college students interested in programming, professionals seeking to upskill, and hobbyists eager to learn a new programming language will all find value in this course.



Grokking Algorithms

Author : Dylan Christian

Publisher : Independently Published

Page : 0 pages

File Size : 12,56 MB

Release : 2022-09-03

Category :

ISBN :

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Book Description

Gain a broader understanding of Algorithms and their role in everyday life. Have you ever asked yourself why you need to learn Algorithms? What is their use in our daily life? Have you ever wondered how learning Algorithms can benefit you? Whether you're a newbie or a seasoned veteran, this book is designed to be easy to follow. There are no big leaps of thought, and any time a new concept is introduced, it is explained right away. This book is written in a friendly tone that explains exactly what you need to know without overcomplicating things. This book is a quantum leap forward from other machine learning books on the market. It is written for beginners but includes more technical information for people interested in diving deeper into the field. If you're just starting out with machine learning, this book will help you get up to speed quickly by giving you some background knowledge, providing concrete examples, and guiding you towards solving problems of your own. However, even experienced data scientists can benefit from some of the examples and applications in this book In this book, you will: Learn the different types of Algorithms and how they work Learn about the practical uses of Algorithms Get background knowledge about Algorithms with concrete examples Master Selection sort and Recursion Discover Quicksort with real-life examples Learn about Hashtags and why they are useful Discover Breadth-first search and Dijkstra's algorithm Master dynamic programming Extra care is taken to curate the contents of this book. It doesn't include every sorting algorithm-you can find an excellent introduction to them online. It includes only algorithms that are practical, widely used, and not too easy. Don't wait another second; click the "Add to Cart" button now and start working with algorithms.



Grokking Algorithms

Author : Aditya Bhargava

Publisher : Simon and Schuster

Page : 354 pages

File Size : 40,20 MB

Release : 2016-05-12

Category : Computers

ISBN : 1638353344

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Book Description

"This book does the impossible: it makes math fun and easy!" - Sander Rossel, COAS Software Systems Grokking Algorithms is a fully illustrated, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. Learning about algorithms doesn't have to be boring! Get a sneak peek at the fun, illustrated, and friendly examples you'll find in Grokking Algorithms on Manning Publications' YouTube channel. Continue your journey into the world of algorithms with Algorithms in Motion, a practical, hands-on video course available exclusively at Manning.com (www.manning.com/livevideo/algorithms-?in-motion). Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology An algorithm is nothing more than a step-by-step procedure for solving a problem. The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to understand them but refuse to slog through dense multipage proofs, this is the book for you. This fully illustrated and engaging guide makes it easy to learn how to use the most important algorithms effectively in your own programs. About the Book Grokking Algorithms is a friendly take on this core computer science topic. In it, you'll learn how to apply common algorithms to the practical programming problems you face every day. You'll start with tasks like sorting and searching. As you build up your skills, you'll tackle more complex problems like data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. By the end of this book, you will have mastered widely applicable algorithms as well as how and when to use them. What's Inside Covers search, sort, and graph algorithms Over 400 pictures with detailed walkthroughs Performance trade-offs between algorithms Python-based code samples About the Reader This easy-to-read, picture-heavy introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. About the Author Aditya Bhargava is a Software Engineer with a dual background in Computer Science and Fine Arts. He blogs on programming at adit.io. Table of Contents Introduction to algorithms Selection sort Recursion Quicksort Hash tables Breadth-first search Dijkstra's algorithm Greedy algorithms Dynamic programming K-nearest neighbors