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Sellami:Méthodologie de matching à larg
58,99 € *
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Erscheinungsdatum: 28.02.2018, Medium: Taschenbuch, Einband: Kartoniert / Broschiert, Titel: Méthodologie de Matching À Large Échelle Pour Des Schémas XML, Autor: Sellami-S, Verlag: ED UNIVERSITAIRES EUROPEENNES, Imprint: Omn.Univ.Europ., Sprache: Französisch, Schlagworte: COMPUTERS // General Information // Information Technology // LITERARY CRITICISM // General // Literatur: Geschichte und Kritik, Rubrik: Informatik // EDV, Allgemeines, Lexika, Seiten: 232, Empfohlenes Alter: ab 1 Jahre // bis 17 Jahre, Reihe: Omn.Univ.Europ, Gewicht: 364 gr, Verkäufer: averdo

Anbieter: averdo
Stand: 28.10.2020
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Storing and Querying Large XML Instances
79,99 € *
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Storing and Querying Large XML Instances ab 79.99 € als Taschenbuch: Design of a full-fledged XML storage and query architecture. Aus dem Bereich: Bücher, English, International, Gebundene Ausgaben,

Anbieter: hugendubel
Stand: 28.10.2020
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CREE T6 LED Diving Headlamp 'Nova' - 1200 Lumen...
19,73 € *
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1200 Lumens Cree XM-L XML T6 LED Waterproof Diving Headlamp rated to work up to 60 Meters underwater.Cree LED Scuba Light The ‘Nova’ Cree XM-L T6 LED scuba diving light is cheaper than HID lights, more durable and uses a fraction of the battery power, it combines good price, amazing battery life to make a great choice as a primary dive light. Heavy Duty, Durable + Impact Resistant The ‘Nova’ torch has Cree XM-L T6 LED with a maximum output of 1200 lumens which will penetrate 50 meters into the deep. It’s has a tough rubberized headband so it can be worn on your head leaving both hands free for exploring and with a rugged build and IP68 waterproof rating to a depth of 60 meters its suitable for both professional divers or beginners. It has a large toggle especially designed for use below the surface allowing the wearer to easily switch between the three modes of full brightness, average brightness and emergency strobe. While specifically designed for diving this head torch works just as well on dry land and is suitable for camping, hiking, reading, night fishing, sailing, caving, hunting and just about anything else where a good light source is required.  This product is in stock now, we guarantee next working day shipping and offer a 12 months warranty on all our products. Brought to you by the leader in electronic devices and wholesale gadgets, Chinavasion.  At a Glance : 1200 LumensCREE T6 LEDWaterproof Up To 60 Meters

Anbieter: G2A
Stand: 28.10.2020
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Computational Physics
74,99 € *
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The use of computation and simulation has become an essential part of the scientific process. Being able to transform a theory into an algorithm requires significant theoretical insight, detailed physical and mathematical understanding, and a working level of competency in programming.This upper-division text provides an unusually broad survey of the topics of modern computational physics from a multidisciplinary, computational science point of view. Its philosophy is rooted in learning by doing (assisted by many model programs), with new scientific materials as well as with the Python programming language. Python has become very popular, particularly for physics education and large scientific projects. It is probably the easiest programming language to learn for beginners, yet is also used for mainstream scientific computing, and has packages for excellent graphics and even symbolic manipulations.The text is designed for an upper-level undergraduate or beginning graduate course and provides the reader with the essential knowledge to understand computational tools and mathematical methods well enough to be successful. As part of the teaching of using computers to solve scientific problems, the reader is encouraged to work through a sample problem stated at the beginning of each chapter or unit, which involves studying the text, writing, debugging and running programs, visualizing the results, and the expressing in words what has been done and what can be concluded. Then there are exercises and problems at the end of each chapter for the reader to work on their own (with model programs given for that purpose).The text could be used for a one-semester course on scientific computing. The relevant topics for that are covered in the first third of the book. The latter two-thirds of the text includes more physics and can be used for a two-semester course in computational physics, covering nonlinear ODEs, Chaotic Scattering, Fourier Analysis, Wavelet Analysis, Nonlinear Maps, Chaotic systems, Fractals and Parallel Computing.The e-book extends the paper version by including many codes, visualizations and applets, as well as links to video lectures.* A table at the beginning of each chapter indicates video lectures, slides, applets and animations.* Applets illustrate the results to be expected for projects in the book, and to help understand some abstract concepts (e.g. Chaotic Scattering)* The eBook's figures, equations, sections, chapters, index, table of contents, code listings, glossary, animations and executable codes (both Applets and Python programs) are linked, much like in a Web document.* Some equations are linked to their xml forms (which can be imported into Maple or Mathematica for manipulation).* The e-book will link to video-based lecture modules, held by principal author Professor Rubin Landau, that cover most every topic in the book.The use of computation and simulation has become an essential part of the scientific process. Being able to transform a theory into an algorithm requires significant theoretical insight, detailed physical and mathematical understanding, and a working level of competency in programming. This upper-division text provides an unusually broad survey of the topics of modern computational physics from a multidisciplinary, computational science point of view. Its philosophy is rooted in learning by doing (assisted by many model programs), with new scientific materials as well as with the Python programming language. Python has become very popular, particularly for physics education and large scientific projects. It is probably the easiest programming language to learn for beginners, yet is also used for mainstream scientific computing, and has packages for excellent graphics and even symbolic manipulations. The text is designed for an upper-level undergraduate or beginning graduate course and provides the reader with the essential knowledge to understand computational tools and mathematical methods well enough to be successful. As part of the teaching of using computers to solve scientific problems, the reader is encouraged to work through a sample problem stated at the beginning of each chapter or unit, which involves studying the text, writing, debugging and running programs, visualizing the results, and the expressing in words what has been done and what can be concluded. Then there are exercises and problems at the end of each chapter for the reader to work on their own (with model programs given for that purpose). The text could be used for a one-semester course on scientific computing. The relevant topics for that are covered in the first third of the book. The latter two-thirds of the text includes more physics and can be used for a two-semester course in computational physics, covering nonlinear ODEs, Chaotic Scattering, Fourier Analysis, Wavelet Analysis, Nonlinear Maps, Chaotic systems, Fractals and Parallel Computing. The e-book extends the paper version by including many codes, visualizations and applets, as well as links to video lectures. * A table at the beginning of each chapter indicates video lectures, slides, applets and animations. * Applets illustrate the results to be expected for projects in the book, and to help understand some abstract concepts (e.g. Chaotic Scattering) * The eBook's figures, equations, sections, chapters, index, table of contents, code listings, glossary, animations and executable codes (both Applets and Python programs) are linked, much like in a Web document. * Some equations are linked to their xml forms (which can be imported into Maple or Mathematica for manipulation). * The e-book will link to video-based lecture modules, held by principal author Professor Rubin Landau, that cover most every topic in the book.

Anbieter: buecher
Stand: 28.10.2020
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Computational Physics
74,99 € *
ggf. zzgl. Versand

The use of computation and simulation has become an essential part of the scientific process. Being able to transform a theory into an algorithm requires significant theoretical insight, detailed physical and mathematical understanding, and a working level of competency in programming.This upper-division text provides an unusually broad survey of the topics of modern computational physics from a multidisciplinary, computational science point of view. Its philosophy is rooted in learning by doing (assisted by many model programs), with new scientific materials as well as with the Python programming language. Python has become very popular, particularly for physics education and large scientific projects. It is probably the easiest programming language to learn for beginners, yet is also used for mainstream scientific computing, and has packages for excellent graphics and even symbolic manipulations.The text is designed for an upper-level undergraduate or beginning graduate course and provides the reader with the essential knowledge to understand computational tools and mathematical methods well enough to be successful. As part of the teaching of using computers to solve scientific problems, the reader is encouraged to work through a sample problem stated at the beginning of each chapter or unit, which involves studying the text, writing, debugging and running programs, visualizing the results, and the expressing in words what has been done and what can be concluded. Then there are exercises and problems at the end of each chapter for the reader to work on their own (with model programs given for that purpose).The text could be used for a one-semester course on scientific computing. The relevant topics for that are covered in the first third of the book. The latter two-thirds of the text includes more physics and can be used for a two-semester course in computational physics, covering nonlinear ODEs, Chaotic Scattering, Fourier Analysis, Wavelet Analysis, Nonlinear Maps, Chaotic systems, Fractals and Parallel Computing.The e-book extends the paper version by including many codes, visualizations and applets, as well as links to video lectures.* A table at the beginning of each chapter indicates video lectures, slides, applets and animations.* Applets illustrate the results to be expected for projects in the book, and to help understand some abstract concepts (e.g. Chaotic Scattering)* The eBook's figures, equations, sections, chapters, index, table of contents, code listings, glossary, animations and executable codes (both Applets and Python programs) are linked, much like in a Web document.* Some equations are linked to their xml forms (which can be imported into Maple or Mathematica for manipulation).* The e-book will link to video-based lecture modules, held by principal author Professor Rubin Landau, that cover most every topic in the book.The use of computation and simulation has become an essential part of the scientific process. Being able to transform a theory into an algorithm requires significant theoretical insight, detailed physical and mathematical understanding, and a working level of competency in programming. This upper-division text provides an unusually broad survey of the topics of modern computational physics from a multidisciplinary, computational science point of view. Its philosophy is rooted in learning by doing (assisted by many model programs), with new scientific materials as well as with the Python programming language. Python has become very popular, particularly for physics education and large scientific projects. It is probably the easiest programming language to learn for beginners, yet is also used for mainstream scientific computing, and has packages for excellent graphics and even symbolic manipulations. The text is designed for an upper-level undergraduate or beginning graduate course and provides the reader with the essential knowledge to understand computational tools and mathematical methods well enough to be successful. As part of the teaching of using computers to solve scientific problems, the reader is encouraged to work through a sample problem stated at the beginning of each chapter or unit, which involves studying the text, writing, debugging and running programs, visualizing the results, and the expressing in words what has been done and what can be concluded. Then there are exercises and problems at the end of each chapter for the reader to work on their own (with model programs given for that purpose). The text could be used for a one-semester course on scientific computing. The relevant topics for that are covered in the first third of the book. The latter two-thirds of the text includes more physics and can be used for a two-semester course in computational physics, covering nonlinear ODEs, Chaotic Scattering, Fourier Analysis, Wavelet Analysis, Nonlinear Maps, Chaotic systems, Fractals and Parallel Computing. The e-book extends the paper version by including many codes, visualizations and applets, as well as links to video lectures. * A table at the beginning of each chapter indicates video lectures, slides, applets and animations. * Applets illustrate the results to be expected for projects in the book, and to help understand some abstract concepts (e.g. Chaotic Scattering) * The eBook's figures, equations, sections, chapters, index, table of contents, code listings, glossary, animations and executable codes (both Applets and Python programs) are linked, much like in a Web document. * Some equations are linked to their xml forms (which can be imported into Maple or Mathematica for manipulation). * The e-book will link to video-based lecture modules, held by principal author Professor Rubin Landau, that cover most every topic in the book.

Anbieter: buecher
Stand: 28.10.2020
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Flask Blueprints (eBook, PDF)
28,95 € *
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Dive into the world of the Flask microframework to develop an array of web applicationsAbout This BookStructure, compose, and build powerful Flask HTML-based applications and JSON/XML-based APIs using advanced application design patternsIntegrate third-party Flask extensions for tasks such as social authentication, sending emails, and interacting with databases and cache layersBuild a series of Flask applications of increasing complexityWho This Book Is ForIf you are a Python web developer who has developed basic Flask applications and now wants to build a series of more complex web applications, then this is the book for you.What You Will LearnUse the virtualenv Python package to effectively isolate your development environmentsConvert a simple one-file Flask application into a more full-fledged multi-package applicationIntegrate Flask-Login for simple user authentication, Flask-WTF for forms, and Flask-SQLAlchemy for database interactionsExplore URL routing and dispatching in a blueprint structured applicationCreate your own signals and consume them within your applicationLearn to leverage Werkzeug, the WSGI library that powers much of FlaskImplement custom exceptions for handling non-20x response codesWrite your own CLI tools for administrative and development tasks of your Flask application using Flask-Script/ClickBuild your Flask extensions to encapsulate reusable behaviors across your applicationsIntegrate your application with open source JavaScript-based graphing libraries to create simple data visualizationsIn DetailFlask is a small but powerful web development framework for Python. Though Flask is termed a micro-framework, it is no way lacking in functionality; there are many extensions available to Flask which helps it to function at the same level as other large frameworks such as Django and Ruby on Rails.This book will demonstrate how to develop a series of web application projects with the Python web micro-framework, and leverage extensions and external Python libraries and APIs to extend the development of a variety of larger and more complex web applications.The book will start by explaining Python's Virtualenv library and how to create and switch between multiple virtual environments. You'll first build an SQL database-backed application, which will use Flask-WTF, Flask-SQLAlchemy, Jinja templates, and other methods. Next you'll move on to a timeline application, built using concepts including pytest-Flask, the Blinker package, data modelling for user timelines, exception handling, and creating and organizing CLI tools.Moving on, you'll discover how to implement a photo timeline application where you'll explore topics such as writing and running celery tasks, API error handling and testing, and Werkzeug middlewares.Finally, the book walks you through creating an application which fetches data from GitHub and stores it locally. You will also learn how to install and configure Flask-Click extension.Style and approachThis book covers how to effectively use the Flask micro-framework to develop a series of web applications. Each chapter focusses on the development of an application increasing in complexity with easy steps to follow.

Anbieter: buecher
Stand: 28.10.2020
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Flask Blueprints (eBook, PDF)
28,95 € *
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Dive into the world of the Flask microframework to develop an array of web applicationsAbout This BookStructure, compose, and build powerful Flask HTML-based applications and JSON/XML-based APIs using advanced application design patternsIntegrate third-party Flask extensions for tasks such as social authentication, sending emails, and interacting with databases and cache layersBuild a series of Flask applications of increasing complexityWho This Book Is ForIf you are a Python web developer who has developed basic Flask applications and now wants to build a series of more complex web applications, then this is the book for you.What You Will LearnUse the virtualenv Python package to effectively isolate your development environmentsConvert a simple one-file Flask application into a more full-fledged multi-package applicationIntegrate Flask-Login for simple user authentication, Flask-WTF for forms, and Flask-SQLAlchemy for database interactionsExplore URL routing and dispatching in a blueprint structured applicationCreate your own signals and consume them within your applicationLearn to leverage Werkzeug, the WSGI library that powers much of FlaskImplement custom exceptions for handling non-20x response codesWrite your own CLI tools for administrative and development tasks of your Flask application using Flask-Script/ClickBuild your Flask extensions to encapsulate reusable behaviors across your applicationsIntegrate your application with open source JavaScript-based graphing libraries to create simple data visualizationsIn DetailFlask is a small but powerful web development framework for Python. Though Flask is termed a micro-framework, it is no way lacking in functionality; there are many extensions available to Flask which helps it to function at the same level as other large frameworks such as Django and Ruby on Rails.This book will demonstrate how to develop a series of web application projects with the Python web micro-framework, and leverage extensions and external Python libraries and APIs to extend the development of a variety of larger and more complex web applications.The book will start by explaining Python's Virtualenv library and how to create and switch between multiple virtual environments. You'll first build an SQL database-backed application, which will use Flask-WTF, Flask-SQLAlchemy, Jinja templates, and other methods. Next you'll move on to a timeline application, built using concepts including pytest-Flask, the Blinker package, data modelling for user timelines, exception handling, and creating and organizing CLI tools.Moving on, you'll discover how to implement a photo timeline application where you'll explore topics such as writing and running celery tasks, API error handling and testing, and Werkzeug middlewares.Finally, the book walks you through creating an application which fetches data from GitHub and stores it locally. You will also learn how to install and configure Flask-Click extension.Style and approachThis book covers how to effectively use the Flask micro-framework to develop a series of web applications. Each chapter focusses on the development of an application increasing in complexity with easy steps to follow.

Anbieter: buecher
Stand: 28.10.2020
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RapidMiner
34,00 € *
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High Quality Content by WIKIPEDIA articles! High Quality Content by WIKIPEDIA articles! RapidMiner (formerly YALE (Yet Another Learning Environment)) is an environment for machine learning and data mining experiments. It allows experiments to be made up of a large number of arbitrarily nestable operators, described in XML files which are created with RapidMiner's graphical user interface. RapidMiner is used for both research and real-world data mining tasks. The initial version has been developed by the Artificial Intelligence Unit of University of Dortmund since 2001. It is distributed under a GNU license, and has been hosted by SourceForge since 2004. RapidMiner provides more than 500 operators for all main machine learning procedures, including input and output, and data preprocessing and visualization. It is written in the Java programming language and therefore can work on all popular operating systems. It also integrates learning schemes and attribute evaluators of the Weka learning environment.

Anbieter: Dodax
Stand: 28.10.2020
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XML Appliance
34,00 € *
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. An XML appliance is a separate computer system with deliberately narrow functionality that exchanges XML messages with other computer systems. XML appliances secure, accelerate and route XML so enterprises can cost-effectively realize its full potential for messaging and service-oriented architectures (SOAs). They are designed specifically to be easy to install, configure and manage. While some XML appliances must rely on specialized hardware and software to accelerate the processing of XML messages, others accomplish the same tasks using standards-based hardware and operating systems. The first XML appliances were created by DataPower in 1999, Sarvega and Forum Systems in 2001, but there were generally two groups of engineers - some who were focused on large volumes of XML transformations and some who were focused on high-speed XML processing and security.

Anbieter: Dodax
Stand: 28.10.2020
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