Hand Book on Data Visualization  - Easy to quick practices

Hand Book on Data Visualization - Easy to quick practices (Paperback, Dr. Appala Srinuvasu Muttipati)

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Hand Book on Data Visualization - Easy to quick practices (Paperback, Dr. Appala Srinuvasu Muttipati)

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    Highlights
    • Binding: Paperback
    • Publisher: Notion Press
    • Genre: EDUCATION / Computers & Technology
    • ISBN: 9798891862920
    • Edition: 1, 2023
    • Pages: 150
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  • Description
    The "Handbook on Data Visualization Using Python Matplotlib" is a comprehensive guide to mastering data visualization with Matplotlib, a popular Python library. This handbook offers step-by-step tutorials, practical examples, and expert tips to help readers create compelling data visualizations. Whether you're a beginner or an experienced data scientist, this book covers basic to advanced techniques, making it accessible to all. By the end of the book, you'll have a strong foundation in Matplotlib and the skills to create captivating data visualizations for various projects. Unlock the power of Matplotlib and turn your data into engaging visual stories with ease.
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    Publication Year
    • 2023
    Contributors
    Author Info
    • Dr. Appala Srinuvasu Muttipati, an Associate Professor in the Department of Computer Science & Engineering (specializing in AI & ML, DS) at Anil Neerukonda Institute of Science and Technology, Sangivalasa, Visakhapatnam, Andhra Pradesh, India, boasts an impressive academic and professional background. He holds a Ph.D. in Computer Science and Engineering from GITAM Deemed to be University, Visakhapatnam, a Master of Technology degree from the same institution, and a Master of Computer Applications degree from Andhra University, Visakhapatnam. With over 14 years of experience in teaching and research, Dr. Muttipati has authored numerous research papers published in esteemed international journals and conferences. Additionally, he has authored books and book chapters and has played a key role in organizing Faculty Development Programs (FDPs). His research interests encompass Machine Learning, Deep Learning, Computer Vision, Artificial Intelligence, and the Internet of Things.
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