Gnu Octave by Example: A Fast and Practical Approach to Learning Gnu Octave by Pajankar, Ashwin

Gnu Octave by Example: A Fast and Practical Approach to Learning Gnu Octave (Paperback) (ISBN-13: 9781484260852)

Vendor: Ashwin Pajankar
Product type: Books
Format: Paperback
$64.99
$64.99
$64.99
Subtotal: $64.99
Gnu Octave by Example: A Fast and Practical Approach to Learning Gnu Octave by Pajankar, Ashwin

Gnu Octave by Example: A Fast and Practical Approach to Learning Gnu Octave

$64.99
Gnu Octave by Example: A Fast and Practical Approach to Learning Gnu Octave by Pajankar, Ashwin

Gnu Octave by Example: A Fast and Practical Approach to Learning Gnu Octave

$64.99
Format: Paperback
Description
Description
x

Get a quick start to learn, understand, and apply GNU Octave using 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.



Author: Ashwin Pajankar, Sharvani Chandu
ISBN-10: 1484260856
ISBN-13: 9781484260852
Publisher: Apress
Language: English
Published: 09/15/2020
Pages: 173
Format: Paperback
Weight: 0.61lbs
Size: 9.21h x 6.14w x 0.41d
By Ashwin Pajankar
By Ashwin Pajankar
x

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.

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