

The first alpha release dates back to 4 January 1993 and on 17 February 1994 version 1.0 was released. At first it was intended to be a companion to a chemical reactor design course.
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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. She has research experience in the areas of computer vision and machine learning. Sharvani Chandu holds an MS in Computer Vision from CMU and BTech in Electronics and Communication Engineering from IIIT Hyderabad. He is also an avid YouTuber with more than 10,000 subscribers to his channel. He regularly conducts programming bootcamps and hands-on training for software companies. This is his fourth book with Apress and he is working on more books. He has also reviewed numerous books and educational video courses. He has published more than a dozen books with many international and Indian publishers. He has trained more than 60,000 students and professionals in live and online training courses. Ashwin is passionate about training and mentoring. He is also proficient with Raspberry Pi, Arduino, and other single board computers and microcontrollers.

He is proficient in x86 assembly, C, Java, Python, and shell programming. He was gradually exposed to C programming, 8085, and x86 assembly programming during his higher secondary schooling. BASIC was the first programming language he worked with. He started programming and tinkering with electronics at the tender age of seven.
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This is followed by covering matrices and various operations including how to read and analyze data from various sources. 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.
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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. Get a quick start to learn, understand, and implement GNU Octave in a math and programming-friendly approach.
