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Debuter En Algorithmique Avec Matlab Et Scilab
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Book Synopsis Débuter en algorithmique avec Matlab et Scilab by : Jean-Pierre Grenier
Download or read book Débuter en algorithmique avec Matlab et Scilab written by Jean-Pierre Grenier and published by Ellipses Marketing. This book was released on 2007 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ce livre a pour but premier de répondre à la demande d'étudiants de première année de classe préparatoire BCPST qui ne trouvaient pas de manuel ni de tutorial abordable au niveau BAC +1. Il n'est ni un livre de mathématiques, ni un livre d'informatique théorique. C'est un manuel qui présente les rudiments de l'algorithmique en les illustrant au moyen des bases des langages Matlab et Scilab. Il présente toutes les connaissances nécessaires pour les concours BCPST. Les exercices sont classés par difficulté (estimée) croissante. Tous les exercices sont corrigés. Dans de nombreux cas, l'auteur a indiqué un cheminement de pensée qui conduit d'abord à l'algorithme, puis au programme. Outre les étudiants des classes BCPST, ce livre s'adresse à tous ceux qui souhaitent ou doivent s'initier à la programmation avec Matlab ou Scilab, par exemple les étudiants de certains IUT et BTS ou certains candidats aux concours de recrutement d'enseignants.
Download or read book Mastering Rust written by Rahul Sharma and published by Packt Publishing Ltd. This book was released on 2019-01-31 with total page 543 pages. Available in PDF, EPUB and Kindle. Book excerpt: Become proficient in designing, developing and deploying effective software systems using the advanced constructs of Rust Key FeaturesImprove your productivity using the latest version of Rust and write simpler and easier codeUnderstand Rust’s immutability and ownership principle, expressive type system, safe concurrencyDeep dive into the new doamins of Rust like WebAssembly, Networking and Command line toolsBook Description Rust is an empowering language that provides a rare combination of safety, speed, and zero-cost abstractions. Mastering Rust – Second Edition is filled with clear and simple explanations of the language features along with real-world examples, showing you how you can build robust, scalable, and reliable programs. This second edition of the book improves upon the previous one and touches on all aspects that make Rust a great language. We have included the features from latest Rust 2018 edition such as the new module system, the smarter compiler, helpful error messages, and the stable procedural macros. You’ll learn how Rust can be used for systems programming, network programming, and even on the web. You’ll also learn techniques such as writing memory-safe code, building idiomatic Rust libraries, writing efficient asynchronous networking code, and advanced macros. The book contains a mix of theory and hands-on tasks so you acquire the skills as well as the knowledge, and it also provides exercises to hammer the concepts in. After reading this book, you will be able to implement Rust for your enterprise projects, write better tests and documentation, design for performance, and write idiomatic Rust code. What you will learnWrite generic and type-safe code by using Rust’s powerful type system How memory safety works without garbage collection Know the different strategies in error handling and when to use themLearn how to use concurrency primitives such as threads and channels Use advanced macros to reduce boilerplate code Create efficient web applications with the Actix-web frameworkUse Diesel for type-safe database interactions in your web applicationWho this book is for The book is aimed at beginner and intermediate programmers who already have familiarity with any imperative language and have only heard of Rust as a new language. If you are a developer who wants to write robust, efficient and maintainable software systems and want to become proficient with Rust, this book is for you. It starts by giving a whirlwind tour of the important concepts of Rust and covers advanced features of the language in subsequent chapters using code examples that readers will find useful to advance their knowledge.
Download or read book Programming Perl written by Larry Wall and published by "O'Reilly Media, Inc.". This book was released on 2000-07-14 with total page 1104 pages. Available in PDF, EPUB and Kindle. Book excerpt: Perl is a powerful programming language that has grown in popularity since it first appeared in 1988. The first edition of this book, Programming Perl, hit the shelves in 1990, and was quickly adopted as the undisputed bible of the language. Since then, Perl has grown with the times, and so has this book.Programming Perl is not just a book about Perl. It is also a unique introduction to the language and its culture, as one might expect only from its authors. Larry Wall is the inventor of Perl, and provides a unique perspective on the evolution of Perl and its future direction. Tom Christiansen was one of the first champions of the language, and lives and breathes the complexities of Perl internals as few other mortals do. Jon Orwant is the editor ofThe Perl Journal, which has brought together the Perl community as a common forum for new developments in Perl.Any Perl book can show the syntax of Perl's functions, but only this one is a comprehensive guide to all the nooks and crannies of the language. Any Perl book can explain typeglobs, pseudohashes, and closures, but only this one shows how they really work. Any Perl book can say that my is faster than local, but only this one explains why. Any Perl book can have a title, but only this book is affectionately known by all Perl programmers as "The Camel."This third edition of Programming Perl has been expanded to cover version 5.6 of this maturing language. New topics include threading, the compiler, Unicode, and other new features that have been added since the previous edition.
Book Synopsis 3D Graphics Rendering Cookbook by : Sergey Kosarevsky
Download or read book 3D Graphics Rendering Cookbook written by Sergey Kosarevsky and published by Packt Publishing Ltd. This book was released on 2021-08-25 with total page 671 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build a 3D rendering engine from scratch while solving problems in a step-by-step way with the help of useful recipes Key FeaturesLearn to integrate modern rendering techniques into a single performant 3D rendering engineLeverage Vulkan to render 3D content, use AZDO in OpenGL applications, and understand modern real-time rendering methodsImplement a physically based rendering pipeline from scratch in Vulkan and OpenGLBook Description OpenGL is a popular cross-language, cross-platform application programming interface (API) used for rendering 2D and 3D graphics, while Vulkan is a low-overhead, cross-platform 3D graphics API that targets high-performance applications. 3D Graphics Rendering Cookbook helps you learn about modern graphics rendering algorithms and techniques using C++ programming along with OpenGL and Vulkan APIs. The book begins by setting up a development environment and takes you through the steps involved in building a 3D rendering engine with the help of basic, yet self-contained, recipes. Each recipe will enable you to incrementally add features to your codebase and show you how to integrate different 3D rendering techniques and algorithms into one large project. You'll also get to grips with core techniques such as physically based rendering, image-based rendering, and CPU/GPU geometry culling, to name a few. As you advance, you'll explore common techniques and solutions that will help you to work with large datasets for 2D and 3D rendering. Finally, you'll discover how to apply optimization techniques to build performant and feature-rich graphics applications. By the end of this 3D rendering book, you'll have gained an improved understanding of best practices used in modern graphics APIs and be able to create fast and versatile 3D rendering frameworks. What you will learnImprove the performance of legacy OpenGL applicationsManage a substantial amount of content in real-time 3D rendering enginesDiscover how to debug and profile graphics applicationsUnderstand how to use the Approaching Zero Driver Overhead (AZDO) philosophy in OpenGLIntegrate various rendering techniques into a single applicationFind out how to develop Vulkan applicationsImplement a physically based rendering pipeline from scratchIntegrate a physics library with your rendering engineWho this book is for This book is for 3D graphics developers who are familiar with the mathematical fundamentals of 3D rendering and want to gain expertise in writing fast rendering engines with advanced techniques using C++ libraries and APIs. A solid understanding of C++ and basic linear algebra, as well as experience in creating custom 3D applications without using premade rendering engines is required.
Download or read book Inequalities written by Ingram Olkin and published by Academic Press. This book was released on 2014-06-28 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although they play a fundamental role in nearly all branches of mathematics, inequalities are usually obtained by ad hoc methods rather than as consequences of some underlying "theory of inequalities." For certain kinds of inequalities, the notion of majorization leads to such a theory that is sometimes extremely useful and powerful for deriving inequalities. Moreover, the derivation of an inequality by methods of majorization is often very helpful both for providing a deeper understanding and for suggesting natural generalizations.Anyone wishing to employ majorization as a tool in applications can make use of the theorems; for the most part, their statements are easily understood.
Download or read book Thinking in C++ written by Bruce Eckel and published by Prentice Hall. This book was released on 2003-12 with total page 832 pages. Available in PDF, EPUB and Kindle. Book excerpt: Best selling author Bruce Eckel has joined forces with Chuck Allison to write Thinking in C++, Volume 2, the sequel to the highly received and best selling Thinking in C++, Volume 1. Eckel is the master of teaching professional programmers how to quickly learn cutting edge topics in C++ that are glossed over in other C++ books. In Thinking in C++, Volume 2, the authors cover the finer points of exception handling, defensive programming and string and stream processing that every C++ programmer needs to know. Special attention is given to generic programming where the authors reveal little known techniques for effectively using the Standard Template Library. In addition, Eckel and Allison demonstrate how to apply RTTI, design patterns and concurrent programming techniques to improve the quality of industrial strength C++ applications. This book is targeted at programmers of all levels of experience who want to master C++.
Book Synopsis Pro JavaScript RIA Techniques by : Dennis Odell
Download or read book Pro JavaScript RIA Techniques written by Dennis Odell and published by Apress. This book was released on 2009-07-25 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pro JavaScript RIA Techniques: Best Practices, Performance, and Presentation shows you how you can build JavaScript RIAs (rich Internet applications) with compelling user interfaces and great performance. With the best practices and optimization techniques you'll learn in this book, you can optimize performance without sacrificing a rich user interface. Using a combination of innovative ideas and intelligent use of HTML, CSS, JavaScript, and plug–ins, this book shows you how to make decisions based on best web standard development practices and real–world browser data. Through practical examples, you'll see how to optimize both design and performance with an eye toward future enhancements and efficient maintenance. Starting with the essential principles and techniques of semantic markup, build efficient, responsive web applications based on web standard best practices and real–world experience. Apply practical techniques and see how to reuse examples of broadly relevant page components to improve the interface and performance of existing sites. Explore ways to push the boundaries of the possible with existing browser technology.
Book Synopsis Interactive Dashboards and Data Apps with Plotly and Dash by : Elias Dabbas
Download or read book Interactive Dashboards and Data Apps with Plotly and Dash written by Elias Dabbas and published by Packt Publishing Ltd. This book was released on 2021-05-21 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build web-based, mobile-friendly analytic apps and interactive dashboards with Python Key Features Develop data apps and dashboards without any knowledge of JavaScript Map different types of data such as integers, floats, and dates to bar charts, scatter plots, and more Create controls and visual elements with multiple inputs and outputs and add functionality to the app as per your requirements Book DescriptionPlotly's Dash framework is a life-saver for Python developers who want to develop complete data apps and interactive dashboards without JavaScript, but you'll need to have the right guide to make sure you’re getting the most of it. With the help of this book, you'll be able to explore the functionalities of Dash for visualizing data in different ways. Interactive Dashboards and Data Apps with Plotly and Dash will first give you an overview of the Dash ecosystem, its main packages, and the third-party packages crucial for structuring and building different parts of your apps. You'll learn how to create a basic Dash app and add different features to it. Next, you’ll integrate controls such as dropdowns, checkboxes, sliders, date pickers, and more in the app and then link them to charts and other outputs. Depending on the data you are visualizing, you'll also add several types of charts, including scatter plots, line plots, bar charts, histograms, and maps, as well as explore the options available for customizing them. By the end of this book, you'll have developed the skills you need to create and deploy an interactive dashboard, handle complexities and code refactoring, and understand the process of improving your application.What you will learn Find out how to run a fully interactive and easy-to-use app Convert your charts to various formats including images and HTML files Use Plotly Express and the grammar of graphics for easily mapping data to various visual attributes Create different chart types, such as bar charts, scatter plots, histograms, maps, and more Expand your app by creating dynamic pages that generate content based on URLs Implement new callbacks to manage charts based on URLs and vice versa Who this book is for This Plotly Dash book is for data professionals and data analysts who want to gain a better understanding of their data with the help of different visualizations and dashboards – and without having to use JS. Basic knowledge of the Python programming language and HTML will help you to grasp the concepts covered in this book more effectively, but it’s not a prerequisite.
Book Synopsis HTML, XHTML and CSS For Dummies by : Ed Tittel
Download or read book HTML, XHTML and CSS For Dummies written by Ed Tittel and published by John Wiley & Sons. This book was released on 2008-06-02 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now featuring more than 250 color illustrations throughout, this perennially popular guide is a must for novices who want to work with HTML or XHTML, which continue to be the foundation for any Web site The new edition features nearly 50 percent new and updated content, including expanded coverage of CSS and scripting, new coverage of syndication and podcasting, and new sample HTML projects, including a personal Web page, an eBay auction page, a company Web site, and an online product catalog The companion Web site features an eight-page expanded Cheat Sheet with ready-reference information on commands, syntax, colors, CSS elements, and more Covers planning a Web site, formatting Web pages, using CSS, getting creative with colors and fonts, managing layouts, and integrating scripts
Book Synopsis Rapid GUI Programming with Python and Qt by : Mark Summerfield
Download or read book Rapid GUI Programming with Python and Qt written by Mark Summerfield and published by Pearson Education. This book was released on 2007-10-18 with total page 763 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whether you're building GUI prototypes or full-fledged cross-platform GUI applications with native look-and-feel, PyQt 4 is your fastest, easiest, most powerful solution. Qt expert Mark Summerfield has written the definitive best-practice guide to PyQt 4 development. With Rapid GUI Programming with Python and Qt you'll learn how to build efficient GUI applications that run on all major operating systems, including Windows, Mac OS X, Linux, and many versions of Unix, using the same source code for all of them. Summerfield systematically introduces every core GUI development technique: from dialogs and windows to data handling; from events to printing; and more. Through the book's realistic examples you'll discover a completely new PyQt 4-based programming approach, as well as coverage of many new topics, from PyQt 4's rich text engine to advanced model/view and graphics/view programming. Every key concept is illuminated with realistic, downloadable examples–all tested on Windows, Mac OS X, and Linux with Python 2.5, Qt 4.2, and PyQt 4.2, and on Windows and Linux with Qt 4.3 and PyQt 4.3.
Book Synopsis Machine Learning for Data Streams by : Albert Bifet
Download or read book Machine Learning for Data Streams written by Albert Bifet and published by MIT Press. This book was released on 2018-03-16 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework. Today many information sources—including sensor networks, financial markets, social networks, and healthcare monitoring—are so-called data streams, arriving sequentially and at high speed. Analysis must take place in real time, with partial data and without the capacity to store the entire data set. This book presents algorithms and techniques used in data stream mining and real-time analytics. Taking a hands-on approach, the book demonstrates the techniques using MOA (Massive Online Analysis), a popular, freely available open-source software framework, allowing readers to try out the techniques after reading the explanations. The book first offers a brief introduction to the topic, covering big data mining, basic methodologies for mining data streams, and a simple example of MOA. More detailed discussions follow, with chapters on sketching techniques, change, classification, ensemble methods, regression, clustering, and frequent pattern mining. Most of these chapters include exercises, an MOA-based lab session, or both. Finally, the book discusses the MOA software, covering the MOA graphical user interface, the command line, use of its API, and the development of new methods within MOA. The book will be an essential reference for readers who want to use data stream mining as a tool, researchers in innovation or data stream mining, and programmers who want to create new algorithms for MOA.
Book Synopsis Natural Language Processing with PyTorch by : Delip Rao
Download or read book Natural Language Processing with PyTorch written by Delip Rao and published by O'Reilly Media. This book was released on 2019-01-22 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Natural Language Processing (NLP) provides boundless opportunities for solving problems in artificial intelligence, making products such as Amazon Alexa and Google Translate possible. If you’re a developer or data scientist new to NLP and deep learning, this practical guide shows you how to apply these methods using PyTorch, a Python-based deep learning library. Authors Delip Rao and Brian McMahon provide you with a solid grounding in NLP and deep learning algorithms and demonstrate how to use PyTorch to build applications involving rich representations of text specific to the problems you face. Each chapter includes several code examples and illustrations. Explore computational graphs and the supervised learning paradigm Master the basics of the PyTorch optimized tensor manipulation library Get an overview of traditional NLP concepts and methods Learn the basic ideas involved in building neural networks Use embeddings to represent words, sentences, documents, and other features Explore sequence prediction and generate sequence-to-sequence models Learn design patterns for building production NLP systems
Book Synopsis Elements of Causal Inference by : Jonas Peters
Download or read book Elements of Causal Inference written by Jonas Peters and published by MIT Press. This book was released on 2017-11-29 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data. After explaining the need for causal models and discussing some of the principles underlying causal inference, the book teaches readers how to use causal models: how to compute intervention distributions, how to infer causal models from observational and interventional data, and how causal ideas could be exploited for classical machine learning problems. All of these topics are discussed first in terms of two variables and then in the more general multivariate case. The bivariate case turns out to be a particularly hard problem for causal learning because there are no conditional independences as used by classical methods for solving multivariate cases. The authors consider analyzing statistical asymmetries between cause and effect to be highly instructive, and they report on their decade of intensive research into this problem. The book is accessible to readers with a background in machine learning or statistics, and can be used in graduate courses or as a reference for researchers. The text includes code snippets that can be copied and pasted, exercises, and an appendix with a summary of the most important technical concepts.
Book Synopsis Hands-On Unsupervised Learning Using Python by : Ankur A. Patel
Download or read book Hands-On Unsupervised Learning Using Python written by Ankur A. Patel and published by "O'Reilly Media, Inc.". This book was released on 2019-02-21 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence. Since the majority of the world's data is unlabeled, conventional supervised learning cannot be applied. Unsupervised learning, on the other hand, can be applied to unlabeled datasets to discover meaningful patterns buried deep in the data, patterns that may be near impossible for humans to uncover. Author Ankur Patel shows you how to apply unsupervised learning using two simple, production-ready Python frameworks: Scikit-learn and TensorFlow using Keras. With code and hands-on examples, data scientists will identify difficult-to-find patterns in data and gain deeper business insight, detect anomalies, perform automatic feature engineering and selection, and generate synthetic datasets. All you need is programming and some machine learning experience to get started. Compare the strengths and weaknesses of the different machine learning approaches: supervised, unsupervised, and reinforcement learning Set up and manage machine learning projects end-to-end Build an anomaly detection system to catch credit card fraud Clusters users into distinct and homogeneous groups Perform semisupervised learning Develop movie recommender systems using restricted Boltzmann machines Generate synthetic images using generative adversarial networks
Book Synopsis Engineering and Scientific Computing with Scilab by : Claude Gomez
Download or read book Engineering and Scientific Computing with Scilab written by Claude Gomez and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 505 pages. Available in PDF, EPUB and Kindle. Book excerpt: Supplementary files run on UNIX and Windows 95/98/NT
Book Synopsis Qt for Symbian by : Frank H. P. Fitzek
Download or read book Qt for Symbian written by Frank H. P. Fitzek and published by John Wiley & Sons. This book was released on 2010-05-05 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build mobile applications for Nokia’s S60 phones using the hot Qt GUI tool This vital primer—written by developers involved in the latest release of Qt—is a must for anyone wanting to learn this cutting-edge programming environment. Qt is a multi-platform, C++ GUI toolkit that allows you to develop applications and user interfaces once, then deploy them across many desktop and embedded operating systems, without rewriting the source code. Now being applied to the S60 platform (Nokia's new, uniform UI), Qt promises to save development resources, cut costs, and get you to market faster. This unique guide helps you master this exciting tool with step-by-step instruction from some of the best developers in the S60 field. Find easy-to-access tips, techniques, examples, and much more. Walks you through installation of the Qt developer platform and SDK Explains the basic Qt environment and how it can save you development time Delves into the extension of Qt for the S60, including communication and sensors Provides plenty of examples to help you quickly grasp concepts Help revolutionize the S60 mobile market and stay ahead of the crowd with your own state-of-the-art applications, developed with Qt and the detailed information in this unique guide.
Book Synopsis Multidisciplinary Design Optimization in Computational Mechanics by : Piotr Breitkopf
Download or read book Multidisciplinary Design Optimization in Computational Mechanics written by Piotr Breitkopf and published by John Wiley & Sons. This book was released on 2013-02-04 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive introduction to the mathematical and algorithmic methods for the Multidisciplinary Design Optimization (MDO) of complex mechanical systems such as aircraft or car engines. We have focused on the presentation of strategies efficiently and economically managing the different levels of complexity in coupled disciplines (e.g. structure, fluid, thermal, acoustics, etc.), ranging from Reduced Order Models (ROM) to full-scale Finite Element (FE) or Finite Volume (FV) simulations. Particular focus is given to the uncertainty quantification and its impact on the robustness of the optimal designs. A large collection of examples from academia, software editing and industry should also help the reader to develop a practical insight on MDO methods.
