Ashwin Pajankar - Practical Python Data Visualization: A Fast Track Approach To Learning Data Visualization With Python
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Quickly start programming with Python 3 for data visualization with this step-by-step, detailed guide. This books programming-friendly approach using libraries such as leather, NumPy, Matplotlib, and Pandas will serve as a template for business and scientific visualizations.
Youll begin by installing Python 3, see how to work in Jupyter notebook, and explore Leather, Pythons popular data visualization charting library. Youll also be introduced to the scientific Python 3 ecosystem and work with the basics of NumPy, an integral part of that ecosystem. Later chapters are focused on various NumPy routines along with getting started with Scientific Data visualization using matplotlib. Youll review the visualization of 3D data using graphs and networks and finish up by looking at data visualization with Pandas, including the visualization of COVID-19 data sets.
The code examples are tested on popular platforms like Ubuntu, Windows, and Raspberry Pi OS. With Practical Python Data Visualization youll master the core concepts of data visualization with Pandas and the Jupyter notebook interface.
What Youll Learn- Review practical aspects of Python Data Visualization with programming-friendly abstractions
- Install Python 3 and Jupyter on multiple platforms including Windows, Raspberry Pi, and Ubuntu
- Visualize COVID-19 data sets with Pandas
Who This Book Is For
Data Science enthusiasts and professionals, Business analysts and managers, software engineers, data engineers.
Ashwin Pajankar: author's other books
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Any source code or other supplementary material referenced by the author in this book is available to readers on GitHub via the books product page, located at www.apress.com/978-1-4842-6454-6 . For more detailed information, please visit http://www.apress.com/source-code .
I dedicate this book to Abhijit Banerjee, Nobel Laureate economist of Indian origin
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.
I want to express my gratitude to all of the technical reviewers for helping me to make this book better. I would also like to express my gratitude to the team from Apress. Aditee Mirashi helped us to coordinate the entire book process. I am also grateful to Celestin Suresh for giving me the opportunity to write this book.
holds a Master of Technology from IIIT Hyderabad, and he has more than 25 years of programming experience. He started his journey in programming and electronics at the tender age of seven with the BASIC programming language and is now proficient in Assembly programming, C, C++, Java, Shell scripting, and Python. His other technical experience includes single-board computers such as Raspberry Pi and Banana Pro, and Arduino. He is currently a freelance online instructor teaching programming bootcamps to more than 60,000 students from tech companies and colleges. His YouTube channel has an audience of 10,000 subscribers and he has published more than 15 books on programming and electronics with many additional international publications.
is an author, roboticist, and robotics entrepreneur from India. He runs robotics software company Qbotics Labs in Kochi and Kerala. He has ten years of experience in the robotics domain, primarily in Robot Operating System (ROS), OpenCV, and PCL. He has authored eight books on ROS, including Learning Robotics Using Python, Mastering ROS for Robotics Programming, ROS Robotics Projects, and Robot Operating System for Absolute Beginners. He has pursued his masters degress in robotics and automation in India and also worked at the Robotics Institute at Carnegie Mellon University. He has also been a TEDx speaker.
is a programmer, educator, entrepreneur, and innovator. She has a Bachelor of Engineering degree in computer science from Anna University, Chennai, India. She has launched a dozen web apps, plug-ins, and software applications that are being used by thousands of customers online. She has more than 15 years of experience in programming. She is the founder of DigiFisk, an e-learning platform that has more than 70,000 students worldwide. Her courses are well-received by the masses, and her unique, project-based approach is a refreshing change for many. She teaches the complex world of programming by using practical exercises and puzzles along the way. Her courses and books always come with hands-on training in creating real-world projects so her students are better equipped for the real world.
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