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  • Safari, an O'Reilly Media Company.  (4)
  • Elstner-Oertel, Josefa (1888-1969)
  • Boston, MA : Safari  (4)
  • Application software Development  (2)
  • Engineering Data processing
Datasource
Material
Language
Years
  • 1
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Take Control Books | Boston, MA : Safari
    ISBN: 9781947282445
    Language: English
    Pages: 1 online resource (229 pages)
    Edition: 1st edition
    Keywords: Mac OS ; Application software Development ; Electronic books ; local ; Electronic books ; Mac OS ; Logiciels d'application ; Développement ; Application software ; Development
    Abstract: In macOS 10.15 Catalina, Apple finally did away with iTunes. In its place are three new apps-Music, TV, and Podcasts-with audiobooks now handled by the Books app and syncing of mobile devices handled by the Finder. Where once iTunes was an all-purpose media hub, now you may use up to five apps to accomplish the same things. The new apps also add more features (while, sadly, removing a few things too). Take Control of macOS Media Apps is your guide to this new, post-iTunes world. Kirk McElhearn, whose earlier books on iTunes 10, 11, and 12 collectively sold nearly 14,000 copies, is back with a new book that shows you how to manage your music, videos, podcasts, and audiobooks in Catalina. Whether you just want to play your media, or you want to go deeper with special features like Genius, Shuffle, Up Next, Apple Music, and iTunes Match, this comprehensive guide has the answers you need. Kirk also looks at various ways of bringing audio and video into Apple's media apps, tagging songs and videos so you can find them more easily later, creating playlists, sharing your library over a home network, and syncing media with your iPhone, iPad, or iPod. The book covers how to: Play Music: Learn the basics of playing audio (and even music videos) in the Music app. You'll also find tips on making quick playlists with Genius and Up Next, learn the best ways to search for the music you want to hear, stream music to other devices in your home, and view lyrics while tunes play. Stream Music: Use Apple Music, a paid service, to listen to any of 50 million tracks. Or listen to live broadcasts from Apple Music Radio (including Beats 1). View Your Music and Other Content: Learn how to use the sidebar, view your music library, and work with contextual menus in the Music app. Store Your Music Library in the Cloud: What are the pros and cons of Apple's Cloud Music Library? How do Music and iTunes Match figure out whether to upload your music when setting up your Cloud Music Library? You'll get answers to these questions and more. Use the iTunes Store: iTunes may be gone, but the iTunes Store is still open for business! Find tips on shopping in the iTunes Store, and get advice on sharing your purchases with family members and among your various Apple devices. Tag Your Music: Tags are bits of information (also known as "metadata") that can describe your media. Learn which tags to bother changing, the best ways to add lyrics and album art, how to rate songs with stars, ...
    Note: Online resource; Title from title page (viewed January 21, 2020) , Mode of access: World Wide Web.
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  • 2
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : CRC Press | Boston, MA : Safari
    ISBN: 9781315360492 , 1315360497
    Language: English
    Pages: 1 online resource (359 pages)
    Edition: 1st edition
    Series Statement: Chapman & Hall/CRC the R series
    Keywords: Science Data processing ; Engineering Data processing ; Numerical analysis ; R (Computer program language) ; Electronic books ; local ; Sciences ; Informatique ; Ingénierie ; Informatique ; Analyse numérique ; R (Langage de programmation) ; Engineering ; Data processing ; Numerical analysis ; R (Computer program language) ; Science ; Data processing
    Abstract: Instead of presenting the standard theoretical treatments that underlie the various numerical methods used by scientists and engineers, Using R for Numerical Analysis in Science and Engineering shows how to use R and its add-on packages to obtain numerical solutions to the complex mathematical problems commonly faced by scientists and engineers. This practical guide to the capabilities of R demonstrates Monte Carlo, stochastic, deterministic, and other numerical methods through an abundance of worked examples and code, covering the solution of systems of linear algebraic equations and nonlinear equations as well as ordinary differential equations and partial differential equations. It not only shows how to use R's powerful graphic tools to construct the types of plots most useful in scientific and engineering work, but also: Explains how to statistically analyze and fit data to linear and nonlinear models Explores numerical differentiation, integration, and optimization Describes how to find eigenvalues and eigenfunctions Discusses interpolation and curve fitting Considers the analysis of time series Using R for Numerical Analysis in Science and Engineering provides a solid introduction to the most useful numerical methods for scientific and engineering data analysis using R.
    Note: Online resource; Title from title page (viewed April 24, 2014) , Mode of access: World Wide Web.
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  • 3
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : CRC Press | Boston, MA : Safari
    ISBN: 9781466592216 , 1466592214 , 9781439885017
    Language: English
    Pages: 1 online resource (557 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    Keywords: Geography Data processing ; Geography Statistical methods ; Environmental sciences Data processing ; Environmental sciences Statistical methods ; Engineering Data processing ; Engineering Statistical methods ; Electronic books ; local ; Géographie ; Informatique ; Géographie ; Méthodes statistiques ; Sciences de l'environnement ; Informatique ; Sciences de l'environnement ; Méthodes statistiques ; Ingénierie ; Informatique ; Ingénierie ; Méthodes statistiques ; MATHEMATICS ; Applied ; MATHEMATICS ; Probability & Statistics ; General ; Engineering ; Data processing ; Engineering ; Statistical methods ; Environmental sciences ; Data processing ; Environmental sciences ; Statistical methods ; Geography ; Data processing ; Geography ; Statistical methods
    Abstract: Providing a solid foundation for twenty-first-century scientists and engineers, Data Analysis and Statistics for Geography, Environmental Science, and Engineering guides readers in learning quantitative methodology, including how to implement data analysis methods using open-source software. Given the importance of interdisciplinary work in sustainability, the book brings together principles of statistics and probability, multivariate analysis, and spatial analysis methods applicable across a variety of science and engineering disciplines. Learn How to Use a Variety of Data Analysis and Statistics Methods Based on the author's many years of teaching graduate and undergraduate students, this textbook emphasizes hands-on learning. Organized into two parts, it allows greater flexibility using the material in various countries and types of curricula. The first part covers probability, random variables and inferential statistics, applications of regression, time series analysis, and analysis of spatial point patterns. The second part uses matrix algebra to address multidimensional problems. After a review of matrices, it delves into multiple regression, dependent random processes and autoregressive time series, spatial analysis using geostatistics and spatial regression, discriminant analysis, and a variety of multivariate analyses based on eigenvector methods. Build from Fundamental Concepts to Effective Problem Solving Each chapter starts with conceptual and theoretical material to give a firm foundation in how the methods work. Examples and exercises illustrate the applications and demonstrate how to go from concepts to problem solving. Hands-on computer sessions allow students to grasp the practical implications and learn by doing. Throughout, the computer examples and exercises use seeg and RcmdrPlugin.seeg , open-source R packages developed by the author, which help students acquire the skills to implement and conduct analysis and to analyze the results. This self-contained book offers a unified presentation of data analysis methods for more effective problem solving. With clear, easy-to-follow explanations, the book helps students to develop a solid understanding of basic statistical analysis and prepares them for learning the more advanced and specialized methods they will need in their work.
    Note: Online resource; Title from title page (viewed December 7, 2012) , Mode of access: World Wide Web.
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  • 4
    ISBN: 0738438464 , 9780738438467
    Language: English
    Pages: 1 online resource (638 pages)
    Series Statement: IBM Redbooks
    Parallel Title: Erscheint auch als
    DDC: 005.376
    Keywords: WebSphere ; Computational grids (Computer systems) ; Application software Development ; Client/server computing ; Web servers Computer programs ; Electronic books ; local ; WebSphere ; WebSphere ; Electrical & Computer Engineering ; Engineering & Applied Sciences ; Telecommunications ; Grilles informatiques ; Logiciels d'application ; Développement ; Architecture client-serveur (Informatique) ; Serveurs Web ; Logiciels ; Application software ; Development ; Client/server computing ; Computational grids (Computer systems) ; Web servers ; Computer programs
    Abstract: This IBM® Redbooks® publication provides information about the concepts, planning, and design of IBM WebSphere® Application Server V8.5 environments. The target audience of this book is IT architects and consultants who want more information about the planning and design of application-serving environments, from small to large, and complex implementations. This book addresses the packaging and features in WebSphere Application Server V8.5, and highlights the most common implementation topologies. It provides information about planning for specific tasks and components that conform to the WebSphere Application Server environment. Also in this book are planning guidelines for Websphere Application Server V8.5 and Websphere Application Server Network Deployment V8.5 on distributed platforms. It also includes guidelines for WebSphere Application Server for IBM z/OS® V8.5. This book contains information about migration considerations when moving from previous releases. Please note that the additional material referenced in the text is not available from IBM.
    Note: Online resource; Title from title page (viewed June 25, 2012) , Mode of access: World Wide Web.
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