Beginner S Guide To Code Algorithms

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Beginner's Guide to Code Algorithms

Deepankar Maitra
Beginner s Guide to Code Algorithms Book PDF

Author : Deepankar Maitra
Publisher : CRC Press
Page : 189 pages
File Size : 51,6 Mb
Release : 2022-01-26
Category : Computers
ISBN : 9781000535778

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Beginner's Guide to Code Algorithms by Deepankar Maitra Pdf

Do you have creative ideas that you wish you could transform into code? Do you want to boost your problem solving and logic skills? Do you want to enhance your career by adopting an algorithmic mindset? In our increasingly digital world, coding is an essential skill. Communicating an algorithm to a machine to perform a set of tasks is vital. Beginner’s Guide to Code Algorithms: Experiments to Enhance Productivity and Solve Problems written by Deepankar Maitra teaches you how to think like a programmer. The author unravels the secret behind writing code – building a good algorithm. Algorithmic thinking leads to asking the right question and enables a shift from issue resolution to value creation. Having this mindset will make you more marketable to employers. This book takes you on a problem-solving journey to expand your mind and increase your willingness to experiment with code. You will: Learn the art of building an algorithm through hands-on exercises Understand how to develop code for inspiring productivity concepts Build a mentality of developing algorithms to solve problems Develop, test, review, and improve code through guided experimentation This book is designed to develop a culture of logical thinking through intellectual stimulation. It will benefit students and teachers of programming, business professionals, as well as experienced users of Microsoft Excel who wish to become proficient with macros.

The Self-Taught Computer Scientist

Cory Althoff
The Self Taught Computer Scientist Book PDF

Author : Cory Althoff
Publisher : John Wiley & Sons
Page : 336 pages
File Size : 43,6 Mb
Release : 2021-09-16
Category : Computers
ISBN : 9781119724339

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The Self-Taught Computer Scientist by Cory Althoff Pdf

The follow-up to Cory Althoff's bestselling The Self-Taught Programmer, which inspired hundreds of thousands of professionals to learn to program outside of school! Fresh out of college and with just a year of self-study behind him, Cory Althoff was offered a dream first job as a software engineer for a well-known tech company, but he quickly found himself overwhelmed by the amount of things he needed to know, but hadn’t learned yet. This experience combined with his personal journey learning to program inspired his widely praised guide, The Self-Taught Programmer. Now Cory's back with another guide for the self-taught community of learners focusing on the foundations of computer science. The Self-Taught Computer Scientist introduces beginner and self-taught programmers to computer science fundamentals that are essential for success in programming and software engineering fields. Computer science is a massive subject that could cover an entire lifetime of learning. This book does not aim to cover everything you would learn about if you went to school to get a computer science degree. Instead, Cory's goal is to give you an introduction to some of the most important concepts in computer science that apply to a programming career. With a focus on data structures and algorithms, The Self-Taught Computer Scientist helps you fill gaps in your knowledge, prepare for a technical interview, feel knowledgeable and confident on the job, and ultimately, become a better programmer. Learn different algorithms including linear and binary search and test your knowledge with feedback loops Understand what a data structure is and study arrays, linked lists, stacks, queues, hash tables, binary trees, binary heaps, and graphs Prepare for technical interviews and feel comfortable working with more experienced colleagues Discover additional resources and tools to expand your skillset and continue your learning journey It's as simple as this: You have to study computer science if you want to become a successful programmer, and if you don't understand computer science, you won't get hired. Ready for a career in programming, coding, or software engineering and willing to embrace an "always be learning" mindset? The Self-Taught Computer Scientist is for you.

Real-World Algorithms

Panos Louridas
Real World Algorithms Book PDF

Author : Panos Louridas
Publisher : MIT Press
Page : 0 pages
File Size : 42,6 Mb
Release : 2017-03-10
Category : Computers
ISBN : 9780262338158

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Real-World Algorithms by Panos Louridas Pdf

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.

A Beginner's Guide to Algorithms: For Programming

Karl Beeston
A Beginner s Guide to Algorithms For Programming Book PDF

Author : Karl Beeston
Publisher : Richards Education
Page : 102 pages
File Size : 53,7 Mb
Release : 2024-06-11
Category : Computers
ISBN : 8210379456XXX

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A Beginner's Guide to Algorithms: For Programming by Karl Beeston Pdf

Unlock the secrets of algorithmic thinking and revolutionize your programming skills with A Beginner's Guide to Algorithms: For Programming. This comprehensive and accessible guide is designed for aspiring programmers and computer science enthusiasts who are eager to delve into the world of algorithms. Embark on a journey through the essential concepts of algorithm development, starting from the basics and progressing to advanced topics. Each chapter offers clear explanations, practical examples, and step-by-step instructions to help you master fundamental data structures, sorting and searching techniques, dynamic programming, graph theory, and much more. Discover how to: Understand and apply different types of algorithms Choose the right data structure for your specific problem Implement and optimize sorting and searching algorithms Harness the power of recursion and dynamic programming Solve complex problems using graph and greedy algorithms Explore advanced topics like computational geometry and quantum algorithms With detailed case studies and practical applications, you'll see how algorithms play a crucial role in fields such as machine learning, cryptography, bioinformatics, and game development. Whether you're a student, a self-taught programmer, or a seasoned developer looking to refresh your knowledge, this book provides the tools and insights you need to excel in the ever-evolving landscape of programming. Join the ranks of proficient programmers who can tackle any challenge with confidence. Dive into A Beginner's Guide to Algorithms: For Programming and take the first step towards becoming an algorithmic thinker today.

Introduction to Algorithms, third edition

Thomas H. Cormen,Charles E. Leiserson,Ronald L. Rivest,Clifford Stein
Introduction to Algorithms third edition Book PDF

Author : Thomas H. Cormen,Charles E. Leiserson,Ronald L. Rivest,Clifford Stein
Publisher : MIT Press
Page : 1313 pages
File Size : 48,6 Mb
Release : 2009-07-31
Category : Computers
ISBN : 9780262258104

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Introduction to Algorithms, third edition by Thomas H. Cormen,Charles E. Leiserson,Ronald L. Rivest,Clifford Stein Pdf

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.

Absolute Beginner's Guide to Algorithms

Kirupa Chinnathambi
Absolute Beginner s Guide to Algorithms Book PDF

Author : Kirupa Chinnathambi
Publisher : Addison-Wesley Professional
Page : 662 pages
File Size : 41,5 Mb
Release : 2023-12-08
Category : Computers
ISBN : 9780138222505

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Absolute Beginner's Guide to Algorithms by Kirupa Chinnathambi Pdf

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.

Algorithmic Puzzles

Anany Levitin,Maria Levitin
Algorithmic Puzzles Book PDF

Author : Anany Levitin,Maria Levitin
Publisher : OUP USA
Page : 280 pages
File Size : 52,8 Mb
Release : 2011-10-14
Category : Computers
ISBN : 9780199740444

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Algorithmic Puzzles by Anany Levitin,Maria Levitin Pdf

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.

Python

Code Well Academy,R. M. Z. Trigo
Python Book PDF

Author : Code Well Academy,R. M. Z. Trigo
Publisher : CreateSpace
Page : 190 pages
File Size : 53,5 Mb
Release : 2015-09-08
Category : Electronic
ISBN : 151706774X

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Python by Code Well Academy,R. M. Z. Trigo Pdf

Learn Python STRAIGHT from the Masters! " I found this book to be very easy to follow and well-written. The author speaks to beginners such as myself and I learned a lot that I didn't know before. " - S. Hendricks, from Amazon.com " I liked how this book explained the language for starters, it was simple to understand. " - Cathy, from Amazon.com " I always thought Python was be a tough language to master, but this book proved me so wrong. " - Aaron Parker, from Amazon.com Do you want an EASIER, faster learning experience in coding? Are you ready to start a FULFILLING career in Programming? Crafted by some of the best minds who have studied in some of the world's top universities, You're among one of the best learning programs out there.But are you paying THOUSANDS of dollars just to learn how to code well? NO!Hundreds? Not even close. Within this book's pages, you'll find GREAT coding skills to learn - and more. Just some of the questions and topics include: - Certain mistakes in your code you DON'T want to commit... - How to make PROPER data structures (other books don't teach you this way...) - How to make PROPER Functions (other books don't teach you this way either...) - REAL coding workshops to test your new skills... - How to Change your Data without causing errors in your code (IMPORTANT!) and Much, much more!World-Class TrainingThis book breaks your training down into easy-to-understand modules. It starts from the very essentials of data structures and functions, so you can write great code - even as a beginner!

Grokking Algorithms

Aditya Bhargava
Grokking Algorithms Book PDF

Author : Aditya Bhargava
Publisher : Simon and Schuster
Page : 354 pages
File Size : 48,8 Mb
Release : 2016-05-12
Category : Computers
ISBN : 9781638353348

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Grokking Algorithms by Aditya Bhargava Pdf

"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

Real-World Algorithms

Panos Louridas
Real World Algorithms Book PDF

Author : Panos Louridas
Publisher : MIT Press
Page : 527 pages
File Size : 45,8 Mb
Release : 2017-03-17
Category : Computers
ISBN : 9780262035705

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Real-World Algorithms by Panos Louridas Pdf

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.

How to Think About Algorithms

Jeff Edmonds
How to Think About Algorithms Book PDF

Author : Jeff Edmonds
Publisher : Cambridge University Press
Page : 409 pages
File Size : 40,8 Mb
Release : 2008-05-19
Category : Computers
ISBN : 9781139471756

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How to Think About Algorithms by Jeff Edmonds Pdf

This textbook, for second- or third-year students of computer science, presents insights, notations, and analogies to help them describe and think about algorithms like an expert, without grinding through lots of formal proof. Solutions to many problems are provided to let students check their progress, while class-tested PowerPoint slides are on the web for anyone running the course. By looking at both the big picture and easy step-by-step methods for developing algorithms, the author guides students around the common pitfalls. He stresses paradigms such as loop invariants and recursion to unify a huge range of algorithms into a few meta-algorithms. The book fosters a deeper understanding of how and why each algorithm works. These insights are presented in a careful and clear way, helping students to think abstractly and preparing them for creating their own innovative ways to solve problems.

Advances in Financial Machine Learning

Marcos Lopez de Prado
Advances in Financial Machine Learning Book PDF

Author : Marcos Lopez de Prado
Publisher : John Wiley & Sons
Page : 400 pages
File Size : 46,5 Mb
Release : 2018-01-23
Category : Business & Economics
ISBN : 9781119482116

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Advances in Financial Machine Learning by Marcos Lopez de Prado Pdf

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Readers will learn how to structure Big data in a way that is amenable to ML algorithms; how to conduct research with ML algorithms on that data; how to use supercomputing methods; how to backtest your discoveries while avoiding false positives. The book addresses real-life problems faced by practitioners on a daily basis, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their particular setting. Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance.

Python for Beginners

Hacktech Academy
Python for Beginners Book PDF

Author : Hacktech Academy
Publisher : Hacktech Academy
Page : 112 pages
File Size : 47,7 Mb
Release : 2021-03-16
Category : Electronic
ISBN : 1802350330

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Python for Beginners by Hacktech Academy Pdf

⭐️ 55% OFF for Bookstores! NOW at $ 34,95 instead of $ 54,19 ⭐️ Are you new to software development? Are you curious about learning what artificial intelligence is?Do you want to master the Phyton programming language? Well, this book is your best choice! Learning to code is essential to keep up with the times, increasing the opportunities that life has to offer you. Whether you are a tech enthusiast, enterprising student, or entrepreneur, if you choose to learn Python you are making the right and winning choice. Web development? Artificial intelligence? Automation and IoT? Python is all of this and more! Did you know that Python is one of the languages behind extremely popular services and websites like Instagram, YouTube, Reddit, and Mozilla? In this book, you will: Clearly and Easily Understand What Python Is and How It Works, starting from the instructions to correctly install it on your PC to show you how it runs and works. Discover Secret Tips and Tricks to Get Started with Python for Beginners to enhance your skills and help you with daily data science tasks. If you want to make your Python coding more efficient, do not miss these tips/tricks! Learn the Best Machine Learning Algorithms for Beginners with Coding Samples in Python; it is excellent for algorithmic design, as it is used extensively in data science and machine learning technologies. Learn How Python Makes Decisions to Control Flow in Programming. It is crucial to control the program execution because, in real scenarios, the situations are full of conditions, and if you want your program to mimic the real world closer, then you need to transform those real-world situations into your program. ... & Lot More! Your Customers will never stop using this book. Python was designed not only to be simple to understand but also fun to use. You can create prototypes and mini-programs very quickly, to immediately experience real satisfaction. It is thanks to this simplicity that it has gained not only a great deal of popularity but also a reputation as an "easy to learn language". You have only to click on the BUY NOW button Order Your Copy Now to Make Your Customer Starting Coding like a PRO!

A Common-Sense Guide to Data Structures and Algorithms, Second Edition

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

Author : Jay Wengrow
Publisher : Pragmatic Bookshelf
Page : 714 pages
File Size : 46,5 Mb
Release : 2020-08-10
Category : Computers
ISBN : 9781680508055

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A Common-Sense Guide to Data Structures and Algorithms, Second Edition by Jay Wengrow Pdf

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.

Guide to Competitive Programming

Antti Laaksonen
Guide to Competitive Programming Book PDF

Author : Antti Laaksonen
Publisher : Springer
Page : 283 pages
File Size : 50,6 Mb
Release : 2018-01-02
Category : Computers
ISBN : 9783319725475

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Guide to Competitive Programming by Antti Laaksonen Pdf

This invaluable textbook presents a comprehensive introduction to modern competitive programming. The text highlights how competitive programming has proven to be an excellent way to learn algorithms, by encouraging the design of algorithms that actually work, stimulating the improvement of programming and debugging skills, and reinforcing the type of thinking required to solve problems in a competitive setting. The book contains many “folklore” algorithm design tricks that are known by experienced competitive programmers, yet which have previously only been formally discussed in online forums and blog posts. Topics and features: reviews the features of the C++ programming language, and describes how to create efficient algorithms that can quickly process large data sets; discusses sorting algorithms and binary search, and examines a selection of data structures of the C++ standard library; introduces the algorithm design technique of dynamic programming, and investigates elementary graph algorithms; covers such advanced algorithm design topics as bit-parallelism and amortized analysis, and presents a focus on efficiently processing array range queries; surveys specialized algorithms for trees, and discusses the mathematical topics that are relevant in competitive programming; examines advanced graph techniques, geometric algorithms, and string techniques; describes a selection of more advanced topics, including square root algorithms and dynamic programming optimization. This easy-to-follow guide is an ideal reference for all students wishing to learn algorithms, and practice for programming contests. Knowledge of the basics of programming is assumed, but previous background in algorithm design or programming contests is not necessary. Due to the broad range of topics covered at various levels of difficulty, this book is suitable for both beginners and more experienced readers.