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| document chunking hackerrank solution python: Introduction To Algorithms Thomas H Cormen, Charles E Leiserson, Ronald L Rivest, Clifford Stein, 2001 An extensively revised edition of a mathematically rigorous yet accessible introduction to algorithms. |
| document chunking hackerrank solution python: Natural Language Processing with Python Steven Bird, Ewan Klein, Edward Loper, 2009-06-12 This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication. Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify named entities Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful. |
| document chunking hackerrank solution python: Data Algorithms Mahmoud Parsian, 2015-07-13 If you are ready to dive into the MapReduce framework for processing large datasets, this practical book takes you step by step through the algorithms and tools you need to build distributed MapReduce applications with Apache Hadoop or Apache Spark. Each chapter provides a recipe for solving a massive computational problem, such as building a recommendation system. You’ll learn how to implement the appropriate MapReduce solution with code that you can use in your projects. Dr. Mahmoud Parsian covers basic design patterns, optimization techniques, and data mining and machine learning solutions for problems in bioinformatics, genomics, statistics, and social network analysis. This book also includes an overview of MapReduce, Hadoop, and Spark. Topics include: Market basket analysis for a large set of transactions Data mining algorithms (K-means, KNN, and Naive Bayes) Using huge genomic data to sequence DNA and RNA Naive Bayes theorem and Markov chains for data and market prediction Recommendation algorithms and pairwise document similarity Linear regression, Cox regression, and Pearson correlation Allelic frequency and mining DNA Social network analysis (recommendation systems, counting triangles, sentiment analysis) |
| document chunking hackerrank solution python: How Can Self-learners Learn Programming in the Most Efficient Way? A Pragmatic Approach Sebastien Phlix, 2016-12-13 Master's Thesis from the year 2016 in the subject Computer Science - Programming, grade: 20/20, Ecole des hautes etudes commerciales de Paris (HEC Entrepreneurs), language: English, abstract: This paper provides a structured approach for self-learning programming for free on the internet. Its recommendations are based on a review of the existing academic literature which is complemented by the analysis of numerous contributions by software developers, self-learners, and teachers of programming. Additionally, it incorporates effective learning techniques derived from psychological research. Its intended readers are primarily entrepreneurs and 'startup people' who are driven to build new businesses with code, although the proposed approach is also transferable to other domains and audiences. The single most important factor for succeeding in learning programming has been found to be of human nature: learner motivation and persistence. While most beginners and the majority of academic contributions focus mostly on technical aspects such as which language to learn first, or which learning resources to use, this paper analyzes the learning process itself. Learning programming is thus divided into three main steps: First, I highlight the importance of setting a strong learning goal for motivation, and provide a big-picture overview of what 'learning programming' encompasses to structure the approach. Second, I provide learners with recommendations as to which language to learn first - there is no one 'best' choice - as well as how and where to find effective learning resources. Lastly, the paper concludes with tips for optimizing the learning process by introducing effective learning techniques, highlighting the importance of programming practice, and collecting additional advice from programmers and self-learners. |
| document chunking hackerrank solution python: Constraint Processing Rina Dechter, 2003-05-05 Constraint reasoning has matured over the last three decades with contributions from a diverse community of researchers in artificial intelligence, databases and programming languages, operations research, management science, and applied mathematics. In Constraint Processing, Rina Dechter synthesizes these contributions, as well as her own significant work, to provide the first comprehensive examination of the theory that underlies constraint processing algorithms. |
| document chunking hackerrank solution python: A Course in Game Theory Martin J. Osborne, Ariel Rubinstein, 1994-07-12 A Course in Game Theory presents the main ideas of game theory at a level suitable for graduate students and advanced undergraduates, emphasizing the theory's foundations and interpretations of its basic concepts. The authors provide precise definitions and full proofs of results, sacrificing generalities and limiting the scope of the material in order to do so. The text is organized in four parts: strategic games, extensive games with perfect information, extensive games with imperfect information, and coalitional games. It includes over 100 exercises. |
| document chunking hackerrank solution python: Programming with JAVA - A Primer E. Balaguruswamy, 2014-06-04 Programming with JAVA, 3e, incorporates all the updates and enhancements added to JAVA 2 and J2SE 5.0 releases. The book presents the language concepts in extremely simple and easy-to-understand style with illustrations and examples wherever necessary. Salient Features Fully explaines the entire Java language. Discusses Java's unique features snduch as packages a interfaces. Shows how to create and implement applets. Illustrates the use of advanced concepts like multithread and graphics. Covers exception handling in depth. Debugging excercises and two full-fledged projects. Includes model questions from the Sun Certified JAVA Programmer Exam. |
| document chunking hackerrank solution python: Optimized C++ Kurt Guntheroth, 2016-04-27 In today’s fast and competitive world, a program’s performance is just as important to customers as the features it provides. This practical guide teaches developers performance-tuning principles that enable optimization in C++. You’ll learn how to make code that already embodies best practices of C++ design run faster and consume fewer resources on any computer—whether it’s a watch, phone, workstation, supercomputer, or globe-spanning network of servers. Author Kurt Guntheroth provides several running examples that demonstrate how to apply these principles incrementally to improve existing code so it meets customer requirements for responsiveness and throughput. The advice in this book will prove itself the first time you hear a colleague exclaim, “Wow, that was fast. Who fixed something?” Locate performance hot spots using the profiler and software timers Learn to perform repeatable experiments to measure performance of code changes Optimize use of dynamically allocated variables Improve performance of hot loops and functions Speed up string handling functions Recognize efficient algorithms and optimization patterns Learn the strengths—and weaknesses—of C++ container classes View searching and sorting through an optimizer’s eye Make efficient use of C++ streaming I/O functions Use C++ thread-based concurrency features effectively |
| document chunking hackerrank solution python: Top 50 Java Design-Pattern Interview Questions Knowledge Powerhouse, 2016-12-11 Introduction: Design Pattern Interview QuestionsUpdated 2020 edition!!This book contains the Design Pattern Technical interview questions that you can expect in a Java interview. Design Pattern is a very important topic in technical interview. Many fortune 500 organizations use Design Patterns. This book contains basic to expert level Design Pattern interview questions that an interviewer asks. Each question is accompanied with an answer so that you can prepare for job interview in short time. Often, these questions and concepts are used in our daily programming work. But these are most helpful when an Interviewer is trying to test your deep knowledge of Design Pattern concepts.How will this book help me?By reading this book, you do not have to spend time searching the Internet for Design Pattern interview questions. We have already compiled the list of the most popular and the latest Design Pattern Interview questions. Are there answers in this book?Yes, in this book each question is followed by an answer. So you can save time in interview preparation. What is the best way of reading this book?You have to first do a slow reading of all the questions in this book. Once you go through them in the first pass, mark the questions that you could not answer by yourself. Then, in second pass go through only the difficult questions. After going through this book 2-3 times, you will be well prepared to face a technical interview for Software Engineer position in Design Patterns programming. What is the level of questions in this book?This book contains questions that are good for a Associate Software engineer to a Principal Software engineer. The difficulty level of question varies in the book from a Fresher to an Experienced professional. What are the sample questions in this book? When will you use Strategy Design Pattern in Design Pattern? What is Observer design pattern? What are the examples of Observer design pattern in JDK? How Strategy design pattern is different from State design pattern in Design Pattern? Can you explain Decorator design pattern with an example in Design Pattern? What is a good scenario for using Composite design Pattern in Design Pattern? Have you used Singleton design pattern in your Design Pattern project? What are the main uses of Singleton design pattern in Design Pattern project? Why Design Pattern.lang.Runtime is a Singleton in Design Pattern? What is the way to implement a thread-safe Singleton design pattern in Design Pattern? What are the examples of Singleton design pattern in JDK? What are the examples of Visitor design pattern in JDK? How Decorator design pattern is different from Proxy pattern? What are the different scenarios to use Setter and Constructor based injection in Dependency Injection (DI) design pattern? What are the different scenarios for using Proxy design pattern? What is the main difference between Adapter and Proxy design pattern? What are the examples of Adapter design pattern in JDK? What is the difference between Factory and Abstract Factory design pattern? What is Open/closed design principle in Software engineering? What is SOLID design principle? What is a Data Access Object (DAO) design pattern? http://www.knowledgepowerhouse.com |
| document chunking hackerrank solution python: Principles of Computer System Design Jerome H. Saltzer, M. Frans Kaashoek, 2009-05-21 Principles of Computer System Design is the first textbook to take a principles-based approach to the computer system design. It identifies, examines, and illustrates fundamental concepts in computer system design that are common across operating systems, networks, database systems, distributed systems, programming languages, software engineering, security, fault tolerance, and architecture.Through carefully analyzed case studies from each of these disciplines, it demonstrates how to apply these concepts to tackle practical system design problems. To support the focus on design, the text identifies and explains abstractions that have proven successful in practice such as remote procedure call, client/service organization, file systems, data integrity, consistency, and authenticated messages. Most computer systems are built using a handful of such abstractions. The text describes how these abstractions are implemented, demonstrates how they are used in different systems, and prepares the reader to apply them in future designs.The book is recommended for junior and senior undergraduate students in Operating Systems, Distributed Systems, Distributed Operating Systems and/or Computer Systems Design courses; and professional computer systems designers. - Concepts of computer system design guided by fundamental principles - Cross-cutting approach that identifies abstractions common to networking, operating systems, transaction systems, distributed systems, architecture, and software engineering - Case studies that make the abstractions real: naming (DNS and the URL); file systems (the UNIX file system); clients and services (NFS); virtualization (virtual machines); scheduling (disk arms); security (TLS) - Numerous pseudocode fragments that provide concrete examples of abstract concepts - Extensive support. The authors and MIT OpenCourseWare provide on-line, free of charge, open educational resources, including additional chapters, course syllabi, board layouts and slides, lecture videos, and an archive of lecture schedules, class assignments, and design projects |
| document chunking hackerrank solution python: Object Thinking David West, 2004-02-11 In OBJECT THINKING, esteemed object technologist David West contends that the mindset makes the programmer—not the tools and techniques. Delving into the history, philosophy, and even politics of object-oriented programming, West reveals how the best programmers rely on analysis and conceptualization—on thinking—rather than formal process and methods. Both provocative and pragmatic, this book gives form to what’s primarily been an oral tradition among the field’s revolutionary thinkers—and it illustrates specific object-behavior practices that you can adopt for true object design and superior results. Gain an in-depth understanding of: Prerequisites and principles of object thinking. Object knowledge implicit in eXtreme Programming (XP) and Agile software development. Object conceptualization and modeling. Metaphors, vocabulary, and design for object development. Learn viable techniques for: Decomposing complex domains in terms of objects. Identifying object relationships, interactions, and constraints. Relating object behavior to internal structure and implementation design. Incorporating object thinking into XP and Agile practice. |
| document chunking hackerrank solution python: The Art of Systems Architecting Mark W. Maier, 2009-01-06 If engineering is the art and science of technical problem solving, systems architecting happens when you don't yet know what the problem is. The third edition of a highly respected bestseller, The Art of Systems Architecting provides in-depth coverage of the least understood part of systems design: moving from a vague concept and limited resources |
| document chunking hackerrank solution python: Java Walter Savitch, 2014-03-03 Note: You are purchasing a standalone product; MyProgrammingLab does not come packaged with this content. If you would like to purchase both the physical text and MyProgrammingLab search for ISBN-10: 0133862119/ISBN-13: 9780133862119. That package includes ISBN-10: 0133766268/ISBN-13: 9780133766264 and ISBN-10: 0133841030 /ISBN-13: 9780133841039. MyProgrammingLab is not a self-paced technology and should only be purchased when required by an instructor. Java: An Introduction to Problem Solving and Programming, 7e, is ideal for introductory Computer Science courses using Java, and other introductory programming courses in departments of Computer Science, Computer Engineering, CIS, MIS, IT, and Business. It also serves as a useful Java fundamentals reference for programmers. Students are introduced to object-oriented programming and important concepts such as design, testing and debugging, programming style, interfaces inheritance, and exception handling. The Java coverage is a concise, accessible introduction that covers key language features. Objects are covered thoroughly and early in the text, with an emphasis on application programs over applets. MyProgrammingLab for Java is a total learning package. MyProgrammingLab is an online homework, tutorial, and assessment program that truly engages students in learning. It helps students better prepare for class, quizzes, and exams–resulting in better performance in the course–and provides educators a dynamic set of tools for gauging individual and class progress. Teaching and Learning Experience This program presents a better teaching and learning experience—for you and your students. Personalized Learning with MyProgrammingLab: Through the power of practice and immediate personalized feedback, MyProgrammingLab helps students fully grasp the logic, semantics, and syntax of programming. A Concise, Accessible Introduction to Java: Key Java language features are covered in an accessible manner that resonates with introductory programmers. Tried-and-true Pedagogy: Numerous case studies, programming examples, and programming tips are used to help teach problem-solving and programming techniques. Flexible Coverage that Fits your Course: Flexibility charts and optional graphics sections allow instructors to order chapters and sections based on their course needs. Instructor and Student Resources that Enhance Learning: Resources are available to expand on the topics presented in the text. |
| document chunking hackerrank solution python: Object Design Rebecca Wirfs-Brock, Alan McKean, 2003 Object technology pioneer Wirfs-Brock teams with expert McKean to present a thoroughly updated, modern, and proven method for the design of software. The book is packed with practical design techniques that enable the practitioner to get the job done. |
| document chunking hackerrank solution python: Modeling, Analysis, and Visualization of Anisotropy Thomas Schultz, Evren Özarslan, Ingrid Hotz, 2017-10-14 This book focuses on the modeling, processing and visualization of anisotropy, irrespective of the context in which it emerges, using state-of-the-art mathematical tools. As such, it differs substantially from conventional reference works, which are centered on a particular application. It covers the following topics: (i) the geometric structure of tensors, (ii) statistical methods for tensor field processing, (iii) challenges in mapping neural connectivity and structural mechanics, (iv) processing of uncertainty, and (v) visualizing higher-order representations. In addition to original research contributions, it provides insightful reviews. This multidisciplinary book is the sixth in a series that aims to foster scientific exchange between communities employing tensors and other higher-order representations of directionally dependent data. A significant number of the chapters were co-authored by the participants of the workshop titled Multidisciplinary Approaches to Multivalued Data: Modeling, Visualization, Analysis, which was held in Dagstuhl, Germany in April 2016. It offers a valuable resource for those working in the field of multi-directional data, vital inspirations for the development of new models, and essential analysis and visualization techniques, thus furthering the state-of-the-art in studies involving anisotropy. |
| document chunking hackerrank solution python: Designing Object-oriented Software Rebecca Wirfs-Brock, Brian Wilkerson, Lauren Wiener, 1990 Software -- Software Engineering. |
| document chunking hackerrank solution python: Covariant Loop Quantum Gravity Carlo Rovelli, Francesca Vidotto, 2015 A comprehensible introduction to the most fascinating research in theoretical physics: advanced quantum gravity. Ideal for researchers and graduate students. |
| document chunking hackerrank solution python: ML for the Working Programmer Lawrence C. Paulson, 1992 This new edition of a successful text treats modules in more depth, and covers the revision of ML language. |
| document chunking hackerrank solution python: Core Java Cay S. Horstmann, 2020-09-28 The #1 Guide for Serious Programmers: Fully Updated for Java SE 9, 10 & 11 Cay Horstmann’s Core Java, Volume I—Fundamentals, Eleventh Edition, is the definitive guide to writing robust, maintainable code with the Java SE 9, 10, and 11 language and libraries. Horstmann writes for serious programmers who use Java in production projects, and need a deep, practical understanding of the language and API. Throughout, he delivers what you need most: hundreds of real (non-toy) examples revealing the most powerful, effective ways to get the job done. Updated examples reflect the new var keyword and take advantage of improvements in the Java API. You’ll learn how to use JShell’s new Read-Eval-Print Loop (REPL) for more rapid and exploratory development, and apply new features of the APIs for streams, input/output, processes, and concurrency. In this first of two volumes, Horstmann offers in-depth coverage of fundamental Java and UI programming, including object-oriented programming, generics, collections, lambda expressions, Swing design, concurrency, and functional programming. If you’re an experienced programmer moving to Java SE 9, 10, or 11, there’s no better source for expert insight, solutions, and code. Master foundational techniques, idioms, and best practices for writing superior Java code Efficiently implement encapsulation and inheritance Use sound principles of object-oriented design Leverage the full power of objects with interfaces, lambda expressions, and inner classes Harden programs through effective exception handling and debugging Write safer, more reusable code with generic programming Improve performance and efficiency with Java’s standard collections Build cross-platform GUIs with the Swing toolkit Fully utilize multicore processors with Java’s improved concurrency See Core Java, Volume II—Advanced Features, Eleventh Edition (ISBN-13: 978-0-13-516631-4), for expert coverage of Java 9, 10, and 11 enterprise features, the module system, annotations, networking, security, and advanced UI programming. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details. |
| document chunking hackerrank solution python: Modelling, Pricing, and Hedging Counterparty Credit Exposure Giovanni Cesari, John Aquilina, Niels Charpillon, Zlatko Filipovic, Gordon Lee, Ion Manda, 2009-12-06 It was the end of 2005 when our employer, a major European Investment Bank, gave our team the mandate to compute in an accurate way the counterparty credit exposure arising from exotic derivatives traded by the ?rm. As often happens, - posure of products such as, for example, exotic interest-rate, or credit derivatives were modelled under conservative assumptions and credit of?cers were struggling to assess the real risk. We started with a few models written on spreadsheets, t- lored to very speci?c instruments, and soon it became clear that a more systematic approach was needed. So we wrote some tools that could be used for some classes of relatively simple products. A couple of years later we are now in the process of building a system that will be used to trade and hedge counterparty credit ex- sure in an accurate way, for all types of derivative products in all asset classes. We had to overcome problems ranging from modelling in a consistent manner different products booked in different systems and building the appropriate architecture that would allow the computation and pricing of credit exposure for all types of pr- ucts, to ?nding the appropriate management structure across Business, Risk, and IT divisions of the ?rm. In this book we describe some of our experience in modelling counterparty credit exposure, computing credit valuation adjustments, determining appropriate hedges, and building a reliable system. |
| document chunking hackerrank solution python: Language and Computers Markus Dickinson, Chris Brew, Detmar Meurers, 2012-08-20 Language and Computers introduces students to the fundamentals of how computers are used to represent, process, and organize textual and spoken information. Concepts are grounded in real-world examples familiar to students’ experiences of using language and computers in everyday life. A real-world introduction to the fundamentals of how computers process language, written specifically for the undergraduate audience, introducing key concepts from computational linguistics. Offers a comprehensive explanation of the problems computers face in handling natural language Covers a broad spectrum of language-related applications and issues, including major computer applications involving natural language and the social and ethical implications of these new developments The book focuses on real-world examples with which students can identify, using these to explore the technology and how it works Features “under-the-hood” sections that give greater detail on selected advanced topics, rendering the book appropriate for more advanced courses, or for independent study by the motivated reader. |
| document chunking hackerrank solution python: Big Data Analytics Srinath Srinivasa, Sameep Mehta, 2014-12-02 This book constitutes the refereed conference proceedings of the Third International Conference on Big Data Analytics, BDA 2014, held in New Delhi, India, in December 2014. The 11 revised full papers and 6 short papers were carefully reviewed and selected from 35 submissions and cover topics on media analytics; geospatial big data; semantics and data models; search and retrieval; graphics and visualization; application-specific big data. |
| document chunking hackerrank solution python: Python Forensics Chet Hosmer, 2014-05-19 Python Forensics provides many never-before-published proven forensic modules, libraries, and solutions that can be used right out of the box. In addition, detailed instruction and documentation provided with the code samples will allow even novice Python programmers to add their own unique twists or use the models presented to build new solutions. Rapid development of new cybercrime investigation tools is an essential ingredient in virtually every case and environment. Whether you are performing post-mortem investigation, executing live triage, extracting evidence from mobile devices or cloud services, or you are collecting and processing evidence from a network, Python forensic implementations can fill in the gaps. Drawing upon years of practical experience and using numerous examples and illustrative code samples, author Chet Hosmer discusses how to: - Develop new forensic solutions independent of large vendor software release schedules - Participate in an open-source workbench that facilitates direct involvement in the design and implementation of new methods that augment or replace existing tools - Advance your career by creating new solutions along with the construction of cutting-edge automation solutions to solve old problems - Provides hands-on tools, code samples, and detailed instruction and documentation that can be put to use immediately - Discusses how to create a Python forensics workbench - Covers effective forensic searching and indexing using Python - Shows how to use Python to examine mobile device operating systems: iOS, Android, and Windows 8 - Presents complete coverage of how to use Python scripts for network investigation |
| document chunking hackerrank solution python: Applications of Nlp ROBERT BRIAN. DILTS, 2018-02-20 This work presents the application of NLP to a number of important areas including business communication, sales, education, creative writing, health, family therapy and interpersonal negotiation. The book is composed of a collection of individual articles and is intended as a practical guide to using NLP skills and techniques in many different contexts. Its purpose is to show the versatility of NLP, and to help managers, salespeople, teachers, psychologists and parents to have a better understanding and command of their thinking processes and communication abilities |
| document chunking hackerrank solution python: Advances in Soft Computing Ildar Batyrshin, Alexander Gelbukh, Grigori Sidorov, 2021 The two-volume set LNAI 13067 and 13068 constitutes the proceedings of the 20th Mexican International Conference on Artificial Intelligence, MICAI 2021, held in Mexico City, Mexico, in October 2021. The total of 58 papers presented in these two volumes was carefully reviewed and selected from 129 submissions. The first volume, Advances in Computational Intelligence, contains 30 papers structured into three sections: - Machine and Deep Learning - Image Processing and Pattern Recognition - Evolutionary and Metaheuristic Algorithms The second volume, Advances in Soft Computing, contains 28 papers structured into two sections: - Natural Language Processing - Intelligent Applications and Robotics. |
| document chunking hackerrank solution python: C# . Net Yashavant Kanetkar, |
| document chunking hackerrank solution python: Advances in Natural Language Processing José Luis Vicedo, Particio Martínez-Barco, Rafael Munoz, Maximiliano Saiz Noeda, 2004-10-12 This book constitutes the refereed proceedings of the 4th International Conference, EsTAL 2004, held in Alicante, Spain in October 2004. The 42 revised full papers presented were carefully reviewed and selected from 72 submissions. The papers address current issues in computational linguistics and monolingual and multilingual intelligent language processing and applications, in particular written language analysis and generation; pragmatics, discourse, semantics, syntax, and morphology; lexical resources; word sense disambiguation; linguistic, mathematical, and morphology; lexical resources; word sense disambiguation; linguistic, mathematical, and psychological models of language; knowledge acquisition and representation; corpus-based and statistical language modeling; machine translation and translation tools; and computational lexicography; information retrieval; extraction and question answering; automatic summarization; document categorization; natural language interfaces; and dialogue systems and evaluation of systems. |
| document chunking hackerrank solution python: Grokking the System Design Interview Design Gurus, 2021-12-18 This book (also available online at www.designgurus.org) by Design Gurus has helped 60k+ readers to crack their system design interview (SDI). System design questions have become a standard part of the software engineering interview process. These interviews determine your ability to work with complex systems and the position and salary you will be offered by the interviewing company. Unfortunately, SDI is difficult for most engineers, partly because they lack experience developing large-scale systems and partly because SDIs are unstructured in nature. Even engineers who've some experience building such systems aren't comfortable with these interviews, mainly due to the open-ended nature of design problems that don't have a standard answer. This book is a comprehensive guide to master SDIs. It was created by hiring managers who have worked for Google, Facebook, Microsoft, and Amazon. The book contains a carefully chosen set of questions that have been repeatedly asked at top companies. What's inside? This book is divided into two parts. The first part includes a step-by-step guide on how to answer a system design question in an interview, followed by famous system design case studies. The second part of the book includes a glossary of system design concepts. Table of Contents First Part: System Design Interviews: A step-by-step guide. Designing a URL Shortening service like TinyURL. Designing Pastebin. Designing Instagram. Designing Dropbox. Designing Facebook Messenger. Designing Twitter. Designing YouTube or Netflix. Designing Typeahead Suggestion. Designing an API Rate Limiter. Designing Twitter Search. Designing a Web Crawler. Designing Facebook's Newsfeed. Designing Yelp or Nearby Friends. Designing Uber backend. Designing Ticketmaster. Second Part: Key Characteristics of Distributed Systems. Load Balancing. Caching. Data Partitioning. Indexes. Proxies. Redundancy and Replication. SQL vs. NoSQL. CAP Theorem. PACELC Theorem. Consistent Hashing. Long-Polling vs. WebSockets vs. Server-Sent Events. Bloom Filters. Quorum. Leader and Follower. Heartbeat. Checksum. About the Authors Designed Gurus is a platform that offers online courses to help software engineers prepare for coding and system design interviews. Learn more about our courses at www.designgurus.org. |
| document chunking hackerrank solution python: Head First Design Patterns Eric Freeman, Elisabeth Robson, Bert Bates, Kathy Sierra, 2004-10-25 Using research in neurobiology, cognitive science and learning theory, this text loads patterns into your brain in a way that lets you put them to work immediately, makes you better at solving software design problems, and improves your ability to speak the language of patterns with others on your team. |
| document chunking hackerrank solution python: Mathematical Modeling in Systems Biology Brian P. Ingalls, 2022-06-07 An introduction to the mathematical concepts and techniques needed for the construction and analysis of models in molecular systems biology. Systems techniques are integral to current research in molecular cell biology, and system-level investigations are often accompanied by mathematical models. These models serve as working hypotheses: they help us to understand and predict the behavior of complex systems. This book offers an introduction to mathematical concepts and techniques needed for the construction and interpretation of models in molecular systems biology. It is accessible to upper-level undergraduate or graduate students in life science or engineering who have some familiarity with calculus, and will be a useful reference for researchers at all levels. The first four chapters cover the basics of mathematical modeling in molecular systems biology. The last four chapters address specific biological domains, treating modeling of metabolic networks, of signal transduction pathways, of gene regulatory networks, and of electrophysiology and neuronal action potentials. Chapters 3–8 end with optional sections that address more specialized modeling topics. Exercises, solvable with pen-and-paper calculations, appear throughout the text to encourage interaction with the mathematical techniques. More involved end-of-chapter problem sets require computational software. Appendixes provide a review of basic concepts of molecular biology, additional mathematical background material, and tutorials for two computational software packages (XPPAUT and MATLAB) that can be used for model simulation and analysis. |
| document chunking hackerrank solution python: Designing Data-Intensive Applications Martin Kleppmann, 2017-03-16 Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures |
| document chunking hackerrank solution python: Computer Fundamentals and Programming in C Pradip Dey, Manas Ghosh, 2013-07-04 Computer Fundamentals and Programming in C 2e is designed to serve as a textbook for students of engineering (BE/B Tech), computer applications (BCA/MCA), and computer science (B Sc) for an introductory core course on computers and programming in C. |
| document chunking hackerrank solution python: Working With C (For Doe - 'A' & 'B' Level) Yashavant P. Kanetkar, 2003-03 This book assumes no background knowledge of programming, and still provides an exhaustive understanding of C and its applications. Packed with Sample Programs and practical ideas for C applications, this book is ideal for programmers who are new to C, and wish to explore the immense potential of this language. The author provides every aspect of C in detail. Some of the important features of this book are - Over 150 fully tested programming examples, Exercises at end of each chapter, Exhaustive discussion on Pointers, Advanced concepts like structures, union and bitwise operators discussed in detail, Appendix on common programming errors, Contents arranged as per DOEA and B level examination syllabus. All these features make this book ideal for a computer student, teacher or a professional programmer. In short, if you are ready to tab the power of C this book would provide you quite a few treasures. |
| document chunking hackerrank solution python: Clustering and Information Retrieval Weili Wu, Hui Xiong, S. Shekhar, 2013-12-01 Clustering is an important technique for discovering relatively dense sub-regions or sub-spaces of a multi-dimension data distribution. Clus tering has been used in information retrieval for many different purposes, such as query expansion, document grouping, document indexing, and visualization of search results. In this book, we address issues of cluster ing algorithms, evaluation methodologies, applications, and architectures for information retrieval. The first two chapters discuss clustering algorithms. The chapter from Baeza-Yates et al. describes a clustering method for a general metric space which is a common model of data relevant to information retrieval. The chapter by Guha, Rastogi, and Shim presents a survey as well as detailed discussion of two clustering algorithms: CURE and ROCK for numeric data and categorical data respectively. Evaluation methodologies are addressed in the next two chapters. Ertoz et al. demonstrate the use of text retrieval benchmarks, such as TRECS, to evaluate clustering algorithms. He et al. provide objective measures of clustering quality in their chapter. Applications of clustering methods to information retrieval is ad dressed in the next four chapters. Chu et al. and Noel et al. explore feature selection using word stems, phrases, and link associations for document clustering and indexing. Wen et al. and Sung et al. discuss applications of clustering to user queries and data cleansing. Finally, we consider the problem of designing architectures for infor mation retrieval. Crichton, Hughes, and Kelly elaborate on the devel opment of a scientific data system architecture for information retrieval. |
| document chunking hackerrank solution python: Programming in Scheme Michael Eisenberg, 1990 |
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| document chunking hackerrank solution python: Advanced Sensor and Detection Materials Ashutosh Tiwari, Mustafa M. Demir, 2014-06-09 Presents a comprehensive and interdisciplinary review of the major cutting-edge technology research areas—especially those on new materials and methods as well as advanced structures and properties—for various sensor and detection devices The development of sensors and detectors at macroscopic or nanometric scale is the driving force stimulating research in sensing materials and technology for accurate detection in solid, liquid, or gas phases; contact or non-contact configurations; or multiple sensing. The emphasis on reduced-scale detection techniques requires the use of new materials and methods. These techniques offer appealing perspectives given by spin crossover organic, inorganic, and composite materials that could be unique for sensor fabrication. The influence of the length, composition, and conformation structure of materials on their properties, and the possibility of adjusting sensing properties by doping or adding the side-groups, are indicative of the starting point of multifarious sensing. The role of intermolecular interactions, polymer and ordered phase formation, as well as behavior under pressure and magnetic and electric fields are also important facts for processing ultra-sensing materials. The 15 chapters written by senior researchers in Advanced Sensor and Detection Materials cover all these subjects and key features under three foci: 1) principals and perspectives, 2) new materials and methods, and 3) advanced structures and properties for various sensor devices. |
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| document chunking hackerrank solution python: Engineering Practices Lab Manual - 5Th E T Jeyapoovan Nadar, Engineering Practices Lab Manual covers all the basic engineering lab practices in the Civil, Mechanical, Electrical and Electronics areas. The manual details the various tools to be used and exercises to be practiced in the application of engineering practices in each field. |
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with Python Steven Bird,Ewan Klein,Edward Loper,2009-06-12 This book offers a highly accessible introduction to natural language processing the field that supports a variety of …
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HackerRank Coding Problems with Explanation
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