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Taschenbuch. Zustand: Neu. Neuware -Get a quick start to learn, understand, and apply GNU Octave using a math- and programming-friendly approach. This book focuses on an end-to-end track to teach mathematical programming, data science, signal processing, and image processing with GNU Octave.GNU Octave by Example starts with an introduction to GNU Octave, a free and open-source alternative to MATLAB. Next, it explains the processes to install GNU Octave on popular operating systems such as Windows, Ubuntu, Raspberry Pi, and other platforms. Further, it covers hands-on exercises with GNU Octave exploring the basic functionality and command line in interactive mode. This is followed by covering matrices and various operations including how to read and analyze data from various sources. Moving forward, it introduces commonly used programming constructs in data visualization. It explains 2D and 3D data visualization along with data analysis. It also demonstrates the concepts related to geometry and its application with GNU Octave. It concludes with coverage of signal processing followed by image, video, and audio processing techniques.After reading this book, you will be able to write your own programs for scientific and numerical applications.What You Will Learn¿ Understand the practical aspects of GNU Octave with math and programming-friendly abstractions¿ Install GNU Octave on multiple platforms including Windows, Raspberry Pi, and Ubuntu¿ Work with GNU Octave using the GUI, the command line, and Jupyter not Elektronisches Buch¿ Implement 2D and 3D data visualization and analysis with GNU OctaveWho This Book Is ForSoftware engineers, data engineers, data science enthusiasts, and computer vision professionals.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 192 pp. Englisch.

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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Get a quick start to learn, understand, and apply GNU Octave using a math- and programming-friendly approach. This book focuses on an end-to-end track to teach mathematical programming, data science, signal processing, and image processing with GNU Octave.GNU Octave by Example starts with an introduction to GNU Octave, a free and open-source alternative to MATLAB. Next, it explains the processes to install GNU Octave on popular operating systems such as Windows, Ubuntu, Raspberry Pi, and other platforms. Further, it covers hands-on exercises with GNU Octave exploring the basic functionality and command line in interactive mode. This is followed by covering matrices and various operations including how to read and analyze data from various sources. Moving forward, it introduces commonly used programming constructs in data visualization. It explains 2D and 3D data visualization along with data analysis. It also demonstrates the concepts related to geometry and its application with GNU Octave. It concludes with coverage of signal processing followed by image, video, and audio processing techniques.After reading this book, you will be able to write your own programs for scientific and numerical applications.WhatYou Will Learn Understand the practical aspects of GNU Octave with math and programming-friendly abstractions Install GNU Octave on multiple platforms including Windows, Raspberry Pi, and Ubuntu Work with GNU Octave using the GUI, the command line, and Jupyter not Elektronisches Buch Implement 2D and 3D data visualization andanalysis with GNU OctaveWho This Book Is For Software engineers, data engineers, data science enthusiasts, and computer vision professionals. 192 pp. Englisch.

Zustand: New. PRINT ON DEMAND pp. 190.

Kartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Contains hands-on exercises for GNU Octave Covers working with Fourier analysisIncludes practical aspects such as image processing, signal processing, data analytics, and visualization.

Taschenbuch. Zustand: Neu. GNU Octave by Example | A Fast and Practical Approach to Learning GNU Octave | Sharvani Chandu (u. a.) | Taschenbuch | xv | Englisch | 2020 | Apress | EAN 9781484260852 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Get a quick start to learn, understand, and apply GNU Octave using a math- and programming-friendly approach. This book focuses on an end-to-end track to teach mathematical programming, data science, signal processing, and image processing with GNU Octave.GNU Octave by Example starts with an introduction to GNU Octave, a free and open-source alternative to MATLAB. Next, it explains the processes to install GNU Octave on popular operating systems such as Windows, Ubuntu, Raspberry Pi, and other platforms. Further, it covers hands-on exercises with GNU Octave exploring the basic functionality and command line in interactive mode. This is followed by covering matrices and various operations including how to read and analyze data from various sources. Moving forward, it introduces commonly used programming constructs in data visualization. It explains 2D and 3D data visualization along with data analysis. It also demonstrates the concepts related to geometry and its application with GNU Octave. It concludes with coverage of signal processing followed by image, video, and audio processing techniques.After reading this book, you will be able to write your own programs for scientific and numerical applications.WhatYou Will Learn Understand the practical aspects of GNU Octave with math and programming-friendly abstractions Install GNU Octave on multiple platforms including Windows, Raspberry Pi, and Ubuntu Work with GNU Octave using the GUI, the command line, and Jupyter not Elektronisches Buch Implement 2D and 3D data visualization andanalysis with GNU OctaveWho This Book Is For Software engineers, data engineers, data science enthusiasts, and computer vision professionals.