A Technical Guide For Beginners, Researchers and Data Analyst
About author : Dr.Abhinav earned his degree from Visvesvaraya Technological University, Belagavi, Karnataka, and has been writing professionally for more than 7 years. He is currently working as an Assistant Professor in the Department of Mechanical Engineering at Dayananda Sagar Technology of Academy and Management, Bangalore. Prof. Abhinav has published a number of books in different fields of engineering and is credited to scholarly publications in Elsevier, Springer, IOPSciences, and AIP but not limited to. In addition to his writing, Prof. Abhinav is also known for his other notable achievements, such as awards, academic research, etc. Dr. Abhinav's latest book, "Data visualization using Python Programming-A technical guide" is a technical guide for data visualization. This book is an excellent resource for anyone looking to learn how to use Matplotlib for data visualization, whether they are new to the library or have some experience with it already.
About book : The book "Data visualization using Python Programming " is a technical guide that uses the Matplotlib Python library for data visualization. The author of this book draws on his experience in data science and provides a comprehensive guide to using Matplotlib for data visualization. The book covers a wide range of topics, including the basics of Matplotlib, creating different types of plots and charts, customizing plot appearance, and advanced data visualization techniques. Throughout the book, the author provides clear explanations of the concepts and techniques involved in data visualization with Matplotlib, along with numerous examples and code snippets to help readers understand how to use the library effectively. He also includes practical tips and best practices for data visualization, based on his experience working with real-world data. Overall, "Data Visualization using Python Programming-A technical guide" is an excellent resource for anyone looking to learn how to use Matplotlib for data visualization, whether they are new to the library or have some experience with it already. The author has given simple and clear explanations of various examples, making the book accessible and useful for a wide range of readers.