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.
No
About the Author:
Ashwin Pajankar holds a Master of Technology from IIIT Hyderabad. He started programming and tinkering with electronics at the tender age of seven. BASIC was the first programming language he worked with. He was gradually exposed to C programming, 8085, and x86 assembly programming during his higher secondary schooling. He is proficient in x86 assembly, C, Java, Python, and shell programming. He is also proficient with Raspberry Pi, Arduino, and other single board computers and microcontrollers. Ashwin is passionate about training and mentoring. He has trained more than 60,000 students and professionals in live and online training courses. He has published more than a dozen books with many international and Indian publishers. He has also reviewed numerous books and educational video courses. This is his fourth book with Apress and he is working on more books. He regularly conducts programming bootcamps and hands-on training for software companies.
He is also an avid YouTuber with more than 10,000 subscribers to his channel. You can find him on LinkedIn.
Sharvani Chandu holds an MS in Computer Vision from CMU and BTech in Electronics and Communication Engineering from IIIT Hyderabad. She has research experience in the areas of computer vision and machine learning. She currently works for Amazon and has also worked in Bangalore as a software engineer for a couple of years focusing on machine learning and natural language processing. During her undergraduate and graduate studies, she worked as a research intern, teaching assistant, and research assistant. She has also published research papers related to her work. She is enthusiastic about working in the areas of mathematics, computer vision, and programming.
You can find her on LinkedIn.
