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Practical Python Data Visualization: A Fast Track Approach To Learning Data Visualization With Python

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I have been working with the Python programming language for more than 15 years now. I have used it for a variety of tasks like automation, graphics, Internet of Things (IoT), and data science. I have found that it is a very good tool for generating scientific and data-driven business visualizations. It takes fewer lines of code to generate visualizations with Python. Python is capable of fetching data from various type of sources. Combining this feature with various third-party visualization libraries makes Python the perfect tool for various types of visualization requirements.

This book covers the basics of Python, including setup and various modes, and many visualization libraries. I have also made a modest attempt to visualize real-life data related to the ongoing COVID-19 pandemic.

I encourage readers to read all of the material and not to skip anything, even if you are familiar with the particular topic. I have written this book in such a way that every topic and demonstration builds confidence in the reader for the next topic. This truly is a step-by-step guide for beginners and experts alike.

After reading this book, you will be empowered by the knowledge of data visualization with Python and will be able to apply this knowledge in real-life projects at your workplace. It will also instill confidence in you to explore more libraries for data visualization in Python, as most of the support the scientific Python ecosystem and NumPy library discussed in detail in this book.

I hope that readers of this book will enjoy reading it and following the demonstrations as much as I enjoyed writing it.
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