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Produktnummer: 18e2ad1c98af7e41ce9a263c40d699c847
Autor: Chandu, Sharvani Pajankar, Ashwin
Themengebiete: Data Analytics GNU Octave Image Processing MATLAB Numerical Computing Octave
Veröffentlichungsdatum: 15.09.2020
EAN: 9781484260852
Sprache: Englisch
Seitenzahl: 173
Produktart: Kartoniert / Broschiert
Verlag: APRESS
Untertitel: A Fast and Practical Approach to Learning GNU Octave
Produktinformationen "GNU Octave by Example"
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 notebooks?        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.

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