Coding Interview Patterns - Nail Your Next Coding InterviewCoding interviews are tough, and they're only getting tougher, typically demanding months of preparation. What we all want is a way to master algorithms and data structures without having to spend countless hours sifting through endless, unfocussed resources. Introducing "Coding Interview Patterns," your complete guide to mastering the key patterns needed to ace your next coding interview.What’s inside?An insider’s perspective on what interviewers are truly looking for and why.101 real coding interview problems with detailed solutions.Intuitive explanations that guide you through each problem as if you were solving it in a live interview.1000+ diagrams to illustrate key concepts and patterns.Table of ContentsChapter 1: Two PointersChapter 2: Hash Maps and SetsChapter 3: Linked ListsChapter 4: Fast and Slow PointersChapter 5: Sliding WindowsChapter 6: Binary SearchChapter 7: StacksChapter 8: HeapsChapter 9: IntervalsChapter 10: Prefix SumsChapter 11: TreesChapter 12: TriesChapter 13: GraphsChapter 14: BacktrackingChapter 15: Dynamic ProgrammingChapter 16: GreedyChapter 17: Sort and SearchChapter 18: Bit ManipulationChapter 19: Math and Geometry Read more

NEW YORK TIMES AND SUNDAY TIMES BUSINESS BESTSELLER SHORTLISTED FOR THE FT AND MCKINSEY BUSINESS BOOK OF THE YEAR AWARD 2019''Reads more like a delicious page-turning novel...Put it on your holiday gift list for your favourite hedge-fund honcho'' Bloomberg''A compelling read'' Economist''Captivating'' New York Times book reviewJim Simons is the greatest moneymaker in modern financial history. His record bests those of legendary investors, including Warren Buffett, George Soros and Ray Dalio. Yet Simons and his strategies are shrouded in mystery. The financial industry has long craved a look inside Simons''s secretive hedge fund, Renaissance Technologies and veteran Wall Street Journal reporter Gregory Zuckerman delivers the goods.After a legendary career as a mathematician and a stint breaking Soviet codes, Simons set out to conquer financial markets with a radical approach. Simons hired physicists, mathematicians and computer scientists - most of whom knew little about finance - to amass piles of data and build algorithms hunting for the deeply hidden patterns in global markets. Experts scoffed, but Simons and his colleagues became some of the richest in the world, their strategy of creating mathematical models and crunching data embraced by almost every industry today.As Renaissance became a major player in the financial world, its executives began exerting influence on other areas. Simons became a major force in scientific research, education and Democratic politics, funding Hilary Clinton''s presidential campaign. While senior executive Robert Mercer is more responsible than anyone else for the Trump presidency - he placed Steve Bannon in the campaign, funded Trump''s victorious 2016 effort and backed alt-right publication Breitbart. Mercer also impacted the success of the Brexit campaign as he made significant investments in Cambridge Anatlytica. For all his prescience, Simons failed to anticipate how Mercer''s activity would impact his firm and the world.In this fast-paced narrative, Zuckerman examines how Simons launched a quantitative revolution on Wall Street, and reveals the impact that Simons, the quiet billionaire king of the quants, has had on worlds well beyond finance. Read more

A comprehensive update of the leading algorithms text, with new material on matchings in bipartite graphs, online algorithms, machine learning, and other topics.Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers, with self-contained chapters and algorithms in pseudocode. Since the publication of the first edition, Introduction to Algorithms has become the leading algorithms text in universities worldwide as well as the standard reference for professionals. This fourth edition has been updated throughout.New for the fourth edition New chapters on matchings in bipartite graphs, online algorithms, and machine learningNew material on topics including solving recurrence equations, hash tables, potential functions, and suffix arrays140 new exercises and 22 new problemsReader feedback–informed improvements to old problemsClearer, more personal, and gender-neutral writing styleColor added to improve visual presentationNotes, bibliography, and index updated to reflect developments in the fieldWebsite with new supplementary materialWarning: Avoid counterfeit copies of Introduction to Algorithms by buying only from reputable retailers. Counterfeit and pirated copies are incomplete and contain errors. Read more

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Hoy en día es imposible imaginar el desarrollo de software sin Git. Según la encuesta de Stack Overflow de 2018, casi el 90% de los desarrolladores usaban Git para manejar su código fuente. Si te preguntas por qué no hay encuestas más recientes... ¡Es simplemente porque no preguntaron más! Su dominio empezaba a ser tan evidente que no dejaba margen a la curiosidad.Siendo tan importante entender Git, su manejo y dominio, he decidido escribir este libro. Un libro que yo mismo hubiera estado encantado de leer cuándo empecé. Un libro del que estoy seguro que podrás extraer algún aprendizaje y que te podrá servir de guía en el futuro.En el libro te explico los orígenes de Git y por qué ahora lo usa todo el mundo. ¿De dónde nació? ¿Quién lo creó? Además, te explico todos sus fundamentos para que entiendas qué es lo que esconden todos los comando que utilizas en tu día a día.Después de ayudarte a instalar y configurar Git, te explicaré cómo puedes trabajar en Git de forma local y remota y qué diferencias existe entre esos dos modos. Luego haremos repaso de algunas buenas prácticas, cómo usar los alias, los hooks, trucos imprescindibles y muchas cosas más.¿Te interesa dominar Git? ¿Quieres una guía que te va a acompañar siempre? ¡Este es tu libro! Read more

This is the Python version of our book. See the website for links to the C++ and Java version.Have you ever... Wanted to work at an exciting futuristic company?Struggled with an interview problem thatcould have been solved in 15 minutes? Wished you could study real-world computing problems?If so, you need to read Elements of Programming Interviews (EPI).EPI is your comprehensive guide to interviewing for software development roles.The core of EPI is a collection of over 250 problems with detailed solutions. The problems are representative of interview questions asked at leading software companies. The problems are illustrated with 200 figures, 300 tested programs, and 150 additional variants.The book begins with a summary of the nontechnical aspects of interviewing, such as strategies for a great interview, common mistakes, perspectives from the other side of the table, tips on negotiating the best offer, and a guide to the best ways to use EPI. We also provide a summary of data structures, algorithms, and problem solving patterns.Coding problems are presented through a series of chapters on basic and advanced data structures, searching, sorting, algorithm design principles, and concurrency. Each chapter stars with a brief introduction, a case study, top tips, and a review of the most important library methods. This is followed by a broad and thought-provoking set of problems.A practical, fun approach to computer science fundamentals, as seen through the lens of common programming interview questions. Jeff Atwood/Co-founder, Stack Overflow and Discourse Read more

This book introduces the mathematics that supports advanced computer programming and the analysis of algorithms. The primary aim of its well-known authors is to provide a solid and relevant base of mathematical skills - the skills needed to solve complex problems, to evaluate horrendous sums, and to discover subtle patterns in data. It is an indispensable text and reference not only for computer scientists - the authors themselves rely heavily on it! - but for serious users of mathematics in virtually every discipline.Concrete Mathematics is a blending of CONtinuous and disCRETE mathematics. "More concretely," the authors explain, "it is the controlled manipulation of mathematical formulas, using a collection of techniques for solving problems." The subject matter is primarily an expansion of the Mathematical Preliminaries section in Knuth's classic Art of Computer Programming, but the style of presentation is more leisurely, and individual topics are covered more deeply. Several new topics have been added, and the most significant ideas have been traced to their historical roots. The book includes more than 500 exercises, divided into six categories. Complete answers are provided for all exercises, except research problems, making the book particularly valuable for self-study.Major topics include:SumsRecurrencesInteger functionsElementary number theoryBinomial coefficientsGenerating functionsDiscrete probabilityAsymptotic methodsThis second edition includes important new material about mechanical summation. In response to the widespread use of the first edition as a reference book, the bibliography and index have also been expanded, and additional nontrivial improvements can be found on almost every page. Readers will appreciate the informal style of Concrete Mathematics. Particularly enjoyable are the marginal graffiti contributed by students who have taken courses based on this material. The authors want to convey not only the importance of the techniques presented, but some of the fun in learning and using them. Read more

This fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms is the leading textbook on algorithms today and is widely used in colleges and universities worldwide. This book 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. Read more

This text, extensively class-tested over a decade at UC Berkeley and UC San Diego, explains the fundamentals of algorithms in a story line that makes the material enjoyable and easy to digest. Emphasis is placed on understanding the crisp mathematical idea behind each algorithm, in a manner that is intuitive and rigorous without being unduly formal. Features include: The use of boxes to strengthen the narrative: pieces that provide historical context, descriptions of how the algorithms are used in practice, and excursions for the mathematically sophisticated. Carefully chosen advanced topics that can be skipped in a standard one-semester course, but can be covered in an advanced algorithms course or in a more leisurely two-semester sequence. An accessible treatment of linear programming introduces students to one of the greatest achievements in algorithms. An optional chapter on the quantum algorithm for factoring provides a unique peephole into this exciting topic. In addition to the text, DasGupta also offers a Solutions Manual, which is available on the Online Learning Center. "Algorithms is an outstanding undergraduate text, equally informed by the historical roots and contemporary applications of its subject. Like a captivating novel, it is a joy to read." Tim Roughgarden Stanford University Read more

Harness the power of C++ to build smaller, faster, safer, and more predictable programs using the latest techniques and best practices to optimize performance and ensure reliability in your software development projectsKey FeaturesUse contemporary C++ features to enhance code safety and reliabilityDevelop a deeper understanding of memory management mechanisms in C++Write programs that adapt to the constraints of your chosen architecture or platformPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionC++ programmers often face challenges in allocating and managing memory efficiently, especially given the diverse needs of real-time systems, embedded systems, games, and conventional desktop applications. This book offers a targeted approach to address the unique memory constraints of each domain.Written by an ISO C++ Standards Committee member, Patrice Roy, this guide covers fundamental concepts of object lifetime and memory organization to help you write simpler and safer programs. You’ll learn how to control memory allocation mechanisms, create custom containers and allocators, and adapt allocation operators to suit your specific requirements, making your programs smaller, faster, safer, and more predictable.Starting with core principles of memory management, this book introduces modern facilities that simplify your work and then dives into memory management mechanics, building solutions for specific application needs, and measuring their impact on your program’s behavior.By the end of this book, you’ll be able to write secure programs that handle memory optimally for your application domain. You will also have a strong grasp of both high-level abstractions for safer programs and low-level abstractions that allow detailed customization.What you will learnMaster the C++ object model to write more efficient and maintainable codeAutomate resource management to reduce manual errors and improve safetyCustomize memory allocation operators to optimize performance for specific applicationsDevelop your own smart pointers to manage dynamic memory with greater controlAdapt allocation behavior to meet the unique needs of different data typesCreate safe and fast containers to ensure optimal data handling in your programsUtilize standard allocators to streamline memory management in your containersWho this book is forThis book is for programmers who find C++ memory management challenging yet want to master it. It’s ideal for those seeking greater control over memory allocation to make their programs smaller, faster, and safer. Whether you're a seasoned C++ developer or transitioning from other languages, you'll gain insights into how C++ can enhance your programming. It’s especially valuable if you’re working in constrained environments, like embedded systems or game development. Prior experience with programming concepts, such as generic and concurrent programming, is helpful.Table of ContentsObjects, Pointers, and ReferencesThings to Be Careful WithCasts and cv-qualificationsUsing DestructorsUsing Standard Smart PointersWriting Smart PointersOverloading Memory Allocation OperatorsWriting a Naïve Leak DetectorAtypical Allocation MechanismsArena-Based Memory Management and Other OptimizationsDeferred ReclamationWriting Generic Containers with Explicit Memory ManagementWriting Generic Containers with Implicit Memory ManagementWriting Generic Containers with Allocator SupportContemporary IssuesAnnexure: Things You Should Know Read more

Algorithm Design introduces algorithms by looking at the real-world problems that motivate them. The book teaches students a range of design and analysis techniques for problems that arise in computing applications. The text encourages an understanding of the algorithm design process and an appreciation of the role of algorithms in the broader field of computer science.August 6, 2009 Author, Jon Kleinberg, was recently cited in the New York Times for his statistical analysis research in the Internet age. Read more

Rust in Action is a hands-on guide to systems programming with Rust. Written for inquisitive programmers, it presents real-world use cases that go far beyond syntax and structure.Summary Rust in Action introduces the Rust programming language by exploring numerous systems programming concepts and techniques. You'll be learning Rust by delving into how computers work under the hood. You'll find yourself playing with persistent storage, memory, networking and even tinkering with CPU instructions. The book takes you through using Rust to extend other applications and teaches you tricks to write blindingly fast code. You'll also discover parallel and concurrent programming. Filled to the brim with real-life use cases and scenarios, you'll go beyond the Rust syntax and see what Rust has to offer in real-world use cases. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Rust is the perfect language for systems programming. It delivers the low-level power of C along with rock-solid safety features that let you code fearlessly. Ideal for applications requiring concurrency, Rust programs are compact, readable, and blazingly fast. Best of all, Rust’s famously smart compiler helps you avoid even subtle coding errors. About the book Rust in Action is a hands-on guide to systems programming with Rust. Written for inquisitive programmers, it presents real-world use cases that go far beyond syntax and structure. You’ll explore Rust implementations for file manipulation, networking, and kernel-level programming and discover awesome techniques for parallelism and concurrency. Along the way, you’ll master Rust’s unique borrow checker model for memory management without a garbage collector. What's inside Elementary to advanced Rust programming Practical examples from systems programming Command-line, graphical and networked applications About the reader For intermediate programmers. No previous experience with Rust required. About the author Tim McNamara uses Rust to build data processing pipelines and generative art. He is an expert in natural language processing and data engineering. Table of Contents 1 Introducing Rust PART 1 RUST LANGUAGE DISTINCTIVES 2 Language foundations 3 Compound data types 4 Lifetimes, ownership, and borrowing PART 2 DEMYSTIFYING SYSTEMS PROGRAMMING 5 Data in depth 6 Memory 7 Files and storage 8 Networking 9 Time and timekeeping 10 Processes, threads, and containers 11 Kernel 12 Signals, interrupts, and exceptions Read more

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The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence.Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics.Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning. Read more

Planning algorithms are impacting technical disciplines and industries around the world, including robotics, computer-aided design, manufacturing, computer graphics, aerospace applications, drug design, and protein folding. Written for computer scientists and engineers with interests in artificial intelligence, robotics, or control theory, this is the only book on this topic that tightly integrates a vast body of literature from several fields into a coherent source for teaching and reference in a wide variety of applications. Difficult mathematical material is explained through hundreds of examples and illustrations. Read more

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The Art of Computer Programming is a multivolume work on the analysis of algorithms and has long been recognized as the definitive description of classical computer science. The five volumes published to date--Volumes 1, 2, 3, 4A, and 4B--already comprise a unique and invaluable resource in programming theory and practice. Countless readers have spoken about the profound personal influence of Knuth's writings. Scientists have marveled at the beauty and elegance of his analysis, while practicing programmers have successfully applied his "cookbook" solutions to their day-to-day problems. All have admired Knuth for the breadth, clarity, accuracy, and good humor found in his books.To continue the set, and to update parts of the existing volumes, Knuth has created a series of small books called fascicles, which are published at regular intervals. Each fascicle encompasses a section or more of wholly new or revised material. Ultimately, the content of these fascicles will be rolled up into the comprehensive, final versions of each volume, and the enormous undertaking that began in 1962 will be complete.Volume 4, Fascicle 7, which is brimming with lively examples, forms the first third of what will eventually become hardcover Volume 4C. It introduces and explores an important general framework for modeling and solving combinatorial problems, called the Constraint Satisfaction Problem (CSP). The concluding sections of Volume 4B contain expositions of two analogous frameworks, namely XCC ("exact covering with colors") and SAT ("Boolean satisfiability"); the XCC solvers and SAT solvers are now joined by CSP solvers, completing a powerful trio of techniques. Each member of the trio has its own strengths, while separately helping to understand the other two.This fascicle illuminates how the CSP framework is tied to dozens of other parts of computer science: Scene analysis (computer vision); efficient algorithms that embed one graph in another; fascinating instances of "graceful graphs"; new ways to look ahead when backtracking; new heuristics to guide a search that backtracks through a massive space of possibilities; situations when backtracking isn't necessary.New sparse-set data structures are introduced, leading to a technique called "dancing cells"--which often is even better than "dancing links"! Recreational topics appear throughout, including some new takes on the classic problem of a knight's tour, as well as modern puzzles such as fillomino.Nearly 500 exercises are provided, arranged carefully for self-instruction, together with detailed answers (in fact, sometimes also with answers to the answers). All the while, the author pays significant attention to the history of the subject and its human dimensions. Read more

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Accessible, no-nonsense, and programming language-agnostic introduction to algorithms. Includes solutions to all quizzes and selected problems, and a series of YouTube videos by the author accompanies the book. Part 2 covers graph search and its applications, shortest-path algorithms, and the applications and implementation of several data structures: heaps, search trees, hash tables, and bloom filters. (Part 1 is not a prerequisite.) Read more