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Algorithmique Et Programmation En Java 5e Ed
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Book Synopsis Algorithmique et programmation en Java - 5e éd. by : Vincent Granet
Download or read book Algorithmique et programmation en Java - 5e éd. written by Vincent Granet and published by Dunod. This book was released on 2018-08-16 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cet ouvrage s’adresse principalement aux étudiants des cycles informatiques (IUT , IU P, licence, master 1re année et MIAGE) ainsi qu’aux élèves ingénieurs. Il intéressera également toute personne souhaitant découvrir la programmation avec Java. L’objectif de cet ouvrage est d’enseigner des méthodes et des outils de construction de programmes informatiques valides et fiables. L’auteur propose une introduction à l’algorithmique ainsi qu’à la programmation impérative procédurale et orientée objet. Il met l’accent sur les notions de validité et de fiabilité en s’appuyant sur des notations formelles. Tous les algorithmes et les structures de données sont traduits et présentés en Java 8. De nombreux exercices complètent ce cours. Cette cinquième édition a été revue et complétée pour tenir compte des évolutions du langage Java.
Book Synopsis Algorithmique et programmation en Java by : Vincent Granet
Download or read book Algorithmique et programmation en Java written by Vincent Granet and published by . This book was released on 2018-08-16 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cet ouvrage s'adresse principalement aux étudiants des cycles informatiques (IUT , IU P, licence, master 1re année et MIAGE) ainsi qu'aux élèves ingénieurs. Il intéressera également toute personne souhaitant découvrir la programmation avec Java. L'objectif de cet ouvrage est d'enseigner des méthodes et des outils de construction de programmes informatiques valides et fiables. L'auteur propose une introduction à l'algorithmique ainsi qu'à la programmation impérative procédurale et orientée objet. Il met l'accent sur les notions de validité et de fiabilité en s'appuyant sur des notations formelles. Tous les algorithmes et les structures de données sont traduits et présentés en Java 8. De nombreux exercices complètent ce cours. Cette cinquième édition a été revue et complétée pour tenir compte des évolutions du langage Java.
Book Synopsis Algorithms in Java, Part 5 by : Robert Sedgewick
Download or read book Algorithms in Java, Part 5 written by Robert Sedgewick and published by Addison-Wesley Professional. This book was released on 2003-07-16 with total page 1002 pages. Available in PDF, EPUB and Kindle. Book excerpt: Once again, Robert Sedgewick provides a current and comprehensive introduction to important algorithms. The focus this time is on graph algorithms, which are increasingly critical for a wide range of applications, such as network connectivity, circuit design, scheduling, transaction processing, and resource allocation. In this book, Sedgewick offers the same successful blend of theory and practice that has made his work popular with programmers for many years. Michael Schidlowsky and Sedgewick have developed concise new Java implementations that both express the methods in a natural and direct manner and also can be used in real applications. Algorithms in Java, Third Edition, Part 5: Graph Algorithms is the second book in Sedgewick's thoroughly revised and rewritten series. The first book, Parts 1-4, addresses fundamental algorithms, data structures, sorting, and searching. A forthcoming third book will focus on strings, geometry, and a range of advanced algorithms. Each book's expanded coverage features new algorithms and implementations, enhanced descriptions and diagrams, and a wealth of new exercises for polishing skills. The natural match between Java classes and abstract data type (ADT) implementations makes the code more broadly useful and relevant for the modern object-oriented programming environment. The Web site for this book (www.cs.princeton.edu/~rs/) provides additional source code for programmers along with a variety of academic support materials for educators. Coverage includes: A complete overview of graph properties and types Diagraphs and DAGs Minimum spanning trees Shortest paths Network flows Diagrams, sample Java code, and detailed algorithm descriptions A landmark revision, Algorithms in Java, Third Edition, Part 5 provides a complete tool set for programmers to implement, debug, and use graph algorithms across a wide range of computer applications.
Book Synopsis Algorithms in Java, Part 5 by : Robert Sedgewick
Download or read book Algorithms in Java, Part 5 written by Robert Sedgewick and published by . This book was released on 2003 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Algorithmique et programmation en Java by : Vincent Granet
Download or read book Algorithmique et programmation en Java written by Vincent Granet and published by . This book was released on 2014 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cet ouvrage est une introduction à l'algorithmique et à la programmation impérative et orientée objets. L'auteur met l'accent sur les notions de validité et de fiabilité en s'appuyant sur des notations formelles. Tous les algorithmes et les structures de données sont traduits et présentés en Java. La grande originalité de ce cours est d'adopter un déroulé très classique, ce qui permet à un enseignant ayant utilisé jusqu'ici le Pascal ou le C de "basculer" sans douleur vers Java. Cette quatrième édition rend compte de la version 8 de Java (mars 2014) et ajoute des mises à jour sur les interfaces graphiques avec Swing et sur les lambda expressions..
Book Synopsis Algorithmique et programmation en Java by : Vincent Granet
Download or read book Algorithmique et programmation en Java written by Vincent Granet and published by . This book was released on 2000 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cet ouvrage s'adresse principalement aux étudiants de 1er et 2e cycles ainsi qu'aux élèves ingénieurs. Il intéressera également toute personne désireuse de découvrir la programmation avec Java. L'auteur propose ici une introduction à l'algorithmique (algorithmes et structures de données classiques) et à la programmation impérative et orientée objet. Il met l'accent sur les notions de validité et de fiabilité en s'appuyant sur des notations formelles. Tous les algorithmes et les structures de données sont traduits et présentés en Java. De nombreux exercices complètent ce cours. Les corrigés sont disponibles sur le site web de l'auteur (wwwesinsa.unice.fr/~vg/Enseignement/ AlgoProg/algoprog.html), ainsi que de nombreuses animations de types abstraits.
Download or read book Algorithms written by Robert Sedgewick and published by Addison-Wesley Professional. This book was released on 2014-02-01 with total page 828 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is Part I of the fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms, the leading textbook on algorithms today, widely used in colleges and universities worldwide. Part I contains Chapters 1 through 3 of the book. The fourth edition of Algorithms surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing -- including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts. The companion web site, algs4.cs.princeton.edu contains An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material The MOOC related to this book is accessible via the "Online Course" link at algs4.cs.princeton.edu. The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience.
Download or read book Java written by Harvey M. Deitel and published by . This book was released on 2003 with total page 1447 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Java has revolutionized software development with multimedia-intensive, platform-independent, object-oriented code for Internet-, Intranet- and Extranet-based applications. This fifth edition explains Java's extraordinary capabilities, presents an optional object-oriented design and implementation experience with the Unified Modeling Language (UML) from the Object Management Group and introduces n-tier Web-applications development with JDBC, Servlets and JSP." - back cover.
Book Synopsis Python for Finance by : Yves Hilpisch
Download or read book Python for Finance written by Yves Hilpisch and published by "O'Reilly Media, Inc.". This book was released on 2018-12-05 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt: The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics. Using practical examples throughout the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks.
Book Synopsis Digital Image Processing by : Wilhelm Burger
Download or read book Digital Image Processing written by Wilhelm Burger and published by Springer Science & Business Media. This book was released on 2012-01-19 with total page 596 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written as an introduction for undergraduate students, this textbook covers the most important methods in digital image processing. Formal and mathematical aspects are discussed at a fundamental level and various practical examples and exercises supplement the text. The book uses the image processing environment ImageJ, freely distributed by the National Institute of Health. A comprehensive website supports the book, and contains full source code for all examples in the book, a question and answer forum, slides for instructors, etc. Digital Image Processing in Java is the definitive textbook for computer science students studying image processing and digital processing.
Book Synopsis Java Concurrency in Practice by : Tim Peierls
Download or read book Java Concurrency in Practice written by Tim Peierls and published by Pearson Education. This book was released on 2006-05-09 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: Threads are a fundamental part of the Java platform. As multicore processors become the norm, using concurrency effectively becomes essential for building high-performance applications. Java SE 5 and 6 are a huge step forward for the development of concurrent applications, with improvements to the Java Virtual Machine to support high-performance, highly scalable concurrent classes and a rich set of new concurrency building blocks. In Java Concurrency in Practice, the creators of these new facilities explain not only how they work and how to use them, but also the motivation and design patterns behind them. However, developing, testing, and debugging multithreaded programs can still be very difficult; it is all too easy to create concurrent programs that appear to work, but fail when it matters most: in production, under heavy load. Java Concurrency in Practice arms readers with both the theoretical underpinnings and concrete techniques for building reliable, scalable, maintainable concurrent applications. Rather than simply offering an inventory of concurrency APIs and mechanisms, it provides design rules, patterns, and mental models that make it easier to build concurrent programs that are both correct and performant. This book covers: Basic concepts of concurrency and thread safety Techniques for building and composing thread-safe classes Using the concurrency building blocks in java.util.concurrent Performance optimization dos and don'ts Testing concurrent programs Advanced topics such as atomic variables, nonblocking algorithms, and the Java Memory Model
Book Synopsis Machine Learning for Algorithmic Trading by : Stefan Jansen
Download or read book Machine Learning for Algorithmic Trading written by Stefan Jansen and published by Packt Publishing Ltd. This book was released on 2020-07-31 with total page 822 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensim, TensorFlow 2, Zipline, backtrader, Alphalens, and pyfolio. Purchase of the print or Kindle book includes a free eBook in the PDF format. Key FeaturesDesign, train, and evaluate machine learning algorithms that underpin automated trading strategiesCreate a research and strategy development process to apply predictive modeling to trading decisionsLeverage NLP and deep learning to extract tradeable signals from market and alternative dataBook Description The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This revised and expanded second edition enables you to build and evaluate sophisticated supervised, unsupervised, and reinforcement learning models. This book introduces end-to-end machine learning for the trading workflow, from the idea and feature engineering to model optimization, strategy design, and backtesting. It illustrates this by using examples ranging from linear models and tree-based ensembles to deep-learning techniques from cutting edge research. This edition shows how to work with market, fundamental, and alternative data, such as tick data, minute and daily bars, SEC filings, earnings call transcripts, financial news, or satellite images to generate tradeable signals. It illustrates how to engineer financial features or alpha factors that enable an ML model to predict returns from price data for US and international stocks and ETFs. It also shows how to assess the signal content of new features using Alphalens and SHAP values and includes a new appendix with over one hundred alpha factor examples. By the end, you will be proficient in translating ML model predictions into a trading strategy that operates at daily or intraday horizons, and in evaluating its performance. What you will learnLeverage market, fundamental, and alternative text and image dataResearch and evaluate alpha factors using statistics, Alphalens, and SHAP valuesImplement machine learning techniques to solve investment and trading problemsBacktest and evaluate trading strategies based on machine learning using Zipline and BacktraderOptimize portfolio risk and performance analysis using pandas, NumPy, and pyfolioCreate a pairs trading strategy based on cointegration for US equities and ETFsTrain a gradient boosting model to predict intraday returns using AlgoSeek's high-quality trades and quotes dataWho this book is for If you are a data analyst, data scientist, Python developer, investment analyst, or portfolio manager interested in getting hands-on machine learning knowledge for trading, this book is for you. This book is for you if you want to learn how to extract value from a diverse set of data sources using machine learning to design your own systematic trading strategies. Some understanding of Python and machine learning techniques is required.
Book Synopsis Competitive Programming in Python by : Christoph Dürr
Download or read book Competitive Programming in Python written by Christoph Dürr and published by Cambridge University Press. This book was released on 2020-12-17 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: Want to kill it at your job interview in the tech industry? Want to win that coding competition? Learn all the algorithmic techniques and programming skills you need from two experienced coaches, problem setters, and jurors for coding competitions. The authors highlight the versatility of each algorithm by considering a variety of problems and show how to implement algorithms in simple and efficient code. Readers can expect to master 128 algorithms in Python and discover the right way to tackle a problem and quickly implement a solution of low complexity. Classic problems like Dijkstra's shortest path algorithm and Knuth-Morris-Pratt's string matching algorithm are featured alongside lesser known data structures like Fenwick trees and Knuth's dancing links. The book provides a framework to tackle algorithmic problem solving, including: Definition, Complexity, Applications, Algorithm, Key Information, Implementation, Variants, In Practice, and Problems. Python code included in the book and on the companion website.
Book Synopsis Introduction To Algorithms by : Thomas H Cormen
Download or read book Introduction To Algorithms written by Thomas H Cormen and published by MIT Press. This book was released on 2001 with total page 1216 pages. Available in PDF, EPUB and Kindle. Book excerpt: An extensively revised edition of a mathematically rigorous yet accessible introduction to algorithms.
Book Synopsis French books in print, anglais by : Electre
Download or read book French books in print, anglais written by Electre and published by . This book was released on 2002 with total page 1798 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Think Like a Programmer by : V. Anton Spraul
Download or read book Think Like a Programmer written by V. Anton Spraul and published by No Starch Press. This book was released on 2012-08-12 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: The real challenge of programming isn't learning a language's syntax—it's learning to creatively solve problems so you can build something great. In this one-of-a-kind text, author V. Anton Spraul breaks down the ways that programmers solve problems and teaches you what other introductory books often ignore: how to Think Like a Programmer. Each chapter tackles a single programming concept, like classes, pointers, and recursion, and open-ended exercises throughout challenge you to apply your knowledge. You'll also learn how to: –Split problems into discrete components to make them easier to solve –Make the most of code reuse with functions, classes, and libraries –Pick the perfect data structure for a particular job –Master more advanced programming tools like recursion and dynamic memory –Organize your thoughts and develop strategies to tackle particular types of problems Although the book's examples are written in C++, the creative problem-solving concepts they illustrate go beyond any particular language; in fact, they often reach outside the realm of computer science. As the most skillful programmers know, writing great code is a creative art—and the first step in creating your masterpiece is learning to Think Like a Programmer.
Book Synopsis Innovation in Information Systems and Technologies to Support Learning Research by : Mohammed Serrhini
Download or read book Innovation in Information Systems and Technologies to Support Learning Research written by Mohammed Serrhini and published by Springer Nature. This book was released on 2019-11-30 with total page 659 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides glimpses into contemporary research in information systems & technology, learning, artificial intelligence (AI), machine learning, and security and how it applies to the real world, but the ideas presented also span the domains of telehealth, computer vision, the role and use of mobile devices, brain–computer interfaces, virtual reality, language and image processing and big data analytics and applications. Great research arises from asking pertinent research questions. This book reveals some of the authors’ “beautiful questions” and how they develop the subsequent “what if” and “how” questions, offering readers food for thought and whetting their appetite for further research by the same authors.
