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GNU Octave by Example = A Fast and P...
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GNU Octave by Example = A Fast and Practical Approach to Learning GNU Octave /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
GNU Octave by Example/ by Ashwin Pajankar, Sharvani Chandu.
Reminder of title:
A Fast and Practical Approach to Learning GNU Octave /
Author:
Pajankar, Ashwin.
other author:
Chandu, Sharvani.
Description:
XV, 173 p. 100 illus., 6 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Open source software. -
Online resource:
https://doi.org/10.1007/978-1-4842-6086-9
ISBN:
9781484260869
GNU Octave by Example = A Fast and Practical Approach to Learning GNU Octave /
Pajankar, Ashwin.
GNU Octave by Example
A Fast and Practical Approach to Learning GNU Octave /[electronic resource] :by Ashwin Pajankar, Sharvani Chandu. - 1st ed. 2020. - XV, 173 p. 100 illus., 6 illus. in color.online resource.
Chapter 1: An introduction to GNU Octave -- Chapter 2: Getting started with GNU Octave and Jupyter -- Chapter 3: Data types and variables in detail -- Chapter 4: Loops, functions, and files -- Chapter 5: Data Visualization -- Chapter 6 : Data Analysis -- Chapter 7: Signal Processing -- Chapter 8: Audio Processing -- Chapter 9: Image and Video Processing -- Appendix.
Get a quick start to learn, understand, and implement GNU Octave in 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. You will: ● 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.
ISBN: 9781484260869
Standard No.: 10.1007/978-1-4842-6086-9doiSubjects--Topical Terms:
561177
Open source software.
LC Class. No.: QA76.76.O62
Dewey Class. No.: 006.76
GNU Octave by Example = A Fast and Practical Approach to Learning GNU Octave /
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Chapter 1: An introduction to GNU Octave -- Chapter 2: Getting started with GNU Octave and Jupyter -- Chapter 3: Data types and variables in detail -- Chapter 4: Loops, functions, and files -- Chapter 5: Data Visualization -- Chapter 6 : Data Analysis -- Chapter 7: Signal Processing -- Chapter 8: Audio Processing -- Chapter 9: Image and Video Processing -- Appendix.
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Get a quick start to learn, understand, and implement GNU Octave in 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. You will: ● 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.
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