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.

Contains hands-on exercises for GNU Octave

Covers working with Fourier analysis

Includes practical aspects such as image processing, signal processing, data analytics, and visualization

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.