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1. |
Record Nr. |
UNINA9910483789803321 |
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Autore |
DiLeo Carleton |
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Titolo |
Beginning Ruby 3 : From Beginner to Pro / / by Carleton DiLeo, Peter Cooper |
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Pubbl/distr/stampa |
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Berkeley, CA : , : Apress : , : Imprint : Apress, , 2021 |
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ISBN |
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Edizione |
[4th ed. 2021.] |
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Descrizione fisica |
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1 online resource (XXX, 585 p. 21 illus.) |
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Disciplina |
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Soggetti |
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Programming languages (Electronic computers) |
Internet programming |
Compilers (Computer programs) |
Open source software |
Programming Language |
Web Development |
Compilers and Interpreters |
Open Source |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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Part 1 - Foundations and Scaffolding -- 1. Let’s Get It Started: Installing Ruby -- 2. Programming = Joy: A Whistle-Stop Tour of Ruby and Object Orientation -- 3. Ruby’s Building Blocks: Data, Expressions, and Flow Control -- 4. Developing Your First Ruby Application -- 5. The Ruby Ecosystem -- Part 2 - The Core of Ruby -- 6. Classes, Objects, and Modules -- 7. Projects and Libraries -- 8. Documentation, Error Handling, Debugging, and Testing -- 9. Files and Databases -- 10. Deploying Ruby Applications and Libraries -- 11. Advanced Ruby Features -- 12. Tying It Together: Developing a Larger Ruby Application -- Part 3 - Ruby Online -- 13. Web Application Frameworks: Rails, Sinatra, and Ramaze -- 14. Ruby and the Internet -- 15. Networking, Sockets, and Daemons -- 16. Useful Ruby Libraries -- Appendix A. Ruby Primer and Review for Developers -- Appendix B. Useful Resources. |
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Sommario/riassunto |
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Learn the principles behind object-oriented programming in Ruby and within a few chapters create a fully functional Ruby 3-based |
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application. You'll gain a basic understanding of many ancillary technologies such as databases, XML, web frameworks, and networking - some of which will be needed for your first Ruby application. Based on the bestselling first and second editions, Beginning Ruby 3, 4th Edition is a leading guide to learn Ruby from the ground up. The new edition of this book provides the same excellent introduction to Ruby as the previous editions plus updates for the newest version of Ruby, including performance through an improved allocator, decreased heap fragmentation and more. Also, added: details on the just-in-time compiler, fewer limits on GIL (Global Interpreter Lock), and a static type checker. You’ll see why the light and agile Ruby programming language remains a popular open source scripting option for developers building today's web applications. This book can also be used as a textbook or companion to a textbook on beginning Ruby programming. After reading and using this book, you'll have a firm handle to program in the Ruby language. You will: Discover the fundamentals of Ruby and its object-oriented building blocks Use the Ruby libraries, gems, and documentation Work with files and databases Write and deploy Ruby applications Harness the various Ruby web frameworks and use them effectively Do network programming with Ruby . |
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2. |
Record Nr. |
UNINA9910300421103321 |
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Autore |
Iatsenko Dmytro |
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Titolo |
Nonlinear Mode Decomposition : Theory and Applications / / by Dmytro Iatsenko |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
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ISBN |
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Edizione |
[1st ed. 2015.] |
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Descrizione fisica |
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1 online resource (152 p.) |
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Collana |
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Springer Theses, Recognizing Outstanding Ph.D. Research, , 2190-5053 |
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Disciplina |
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Soggetti |
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Physics |
Dynamics |
Ergodic theory |
Signal processing |
Image processing |
Speech processing systems |
Computer software |
Statistical physics |
Numerical and Computational Physics, Simulation |
Dynamical Systems and Ergodic Theory |
Signal, Image and Speech Processing |
Mathematical Software |
Complex Systems |
Statistical Physics and Dynamical Systems |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Introduction.- Linear Time-Frequency Analysis.- Extraction of Components from the TFR -- Nonlinear Mode Decomposition -- Examples, Applications and Related Issues.- Conclusion. |
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Sommario/riassunto |
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This work introduces a new method for analysing measured signals: nonlinear mode decomposition, or NMD. It justifies NMD mathematically, demonstrates it in several applications, and explains in detail how to use it in practice. Scientists often need to be able to analyse time series data that include a complex combination of oscillatory modes of differing origin, usually contaminated by random fluctuations or noise. Furthermore, the basic oscillation frequencies of the modes may vary in time; for example, human blood flow manifests at least six characteristic frequencies, all of which wander in time. NMD allows us to separate these components from each other and from the noise, with immediate potential applications in diagnosis and prognosis. MatLab codes for rapid implementation are available from the author. NMD will most likely come to be used in a broad range of applications. |
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