Synopses & Reviews
Synopsis
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.
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.
Synopsis
Chapter 1: An introduction to GNU Octave
Chapter Goal: Introduce the reader to the GNU Octave tool and steps for the installation on various popular platform
No of pages - 15 (will include the screenshots of GUI too)
Sub -Topics
1. What is GNU Octave and its history
2. Applications
3. Limitations of Octave
4. The Octave Community
5. Comparison with other tools (MATLAB and Scilab)
6. Install Octave and Jupyter
● Windows
● Ubuntu
● Raspberry Pi
7. Octave Programming Modes
● Octave CLI and launching CLI from the command prompt
● Octave GUI and *.m files
● Jupyter Notebook
Chapter 2: Action with Octave Programming
Chapter Goal: Help the reader to engage with hands-on exercises with GNU Octave. Readers will explore the basic functionality of the GUI and command line in the interactive mode.
No of pages: 10
Sub - Topics
1. Getting started with the interactive mode
2. Basics of variables
3. Data types and naming conversions
4. Global and local variables
5. Clear the screen and get the help
6. Writing scripts and launching them from the command prompt
7. Predefined constants and common mathematical functions
8. Complex variables
9. Various Operations on variables
Chapter 3: Matrices and Operations
Chapter Goal: Demonstrate the multidimensional data with matrices and their operations with GNU Octave
No of pages: 15
Sub - Topics:
1. Scalars, vectors, and matrices
2. Operations on Matrices and Arrays
Chapter 4: Scripts, Loops, and User defined functions
Chapter Goal: Write Scripts and Loops. Learn how to write own custom user defined functions in GNU Octave. This chapter heavily focuses on scripting part and programming constructs. We will also see how to read the data from various sources for further working.
No of pages: 15
Sub - Topics:
1. Scripts
2. Loops
3. Define functions
4. Inline functions
5. Save data into files
6. Read data from csv files
7. Work with online data sources
8. Binary file format
Chapter 5: Data Visualization
Chapter goal - Learn to visualize data with octave. Readers working in the data science and visualization domains will be benefited from this.
No of pages: 15
Sub - Topics:
1. 2D Plotting
2. 3D Plotting
3. Surface Plotting
Chapter 6: Data Analysis
Chapter goal - Learn to analyze data with octave. Again, the readers working in the domain of data science and analytics will benefit from this.
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