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GNU Octave by Example

GNU Octave by Example Get a quick start to learn, understand, and apply GNU Octave using a math- and programming-friendly approach. GNU Octave by Example starts with an introduction to GNU Octave, a…

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Specifikacia GNU Octave by Example


GNU Octave by Example

Get a quick start to learn, understand, and apply GNU Octave using a math- and programming-friendly approach. GNU Octave by Example starts with an introduction to GNU Octave, a free and open-source alternative to MATLAB. This book focuses on an end-to-end track to teach mathematical programming, data science, signal processing, and image processing with GNU Octave.

Further, it covers hands-on exercises with GNU Octave exploring the basic functionality and command line in interactive mode. Next, it explains the processes to install GNU Octave on popular operating systems such as Windows, Ubuntu, Raspberry Pi, and other platforms. This is followed by covering matrices and various operations including how to read and analyze data from various sources.

GNU Octave by Example patrí medzi produkty, ktoré ponúkajú vyvážený pomer kvality a ceny. V hornej časti stránky nájdeš hlavný prehľad, nižšie podrobné vlastnosti a technické parametre.

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 Octave Who This Book Is For Software engineers, data engineers, data science enthusiasts, and computer vision professionals.

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