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Practical Python Data Visualization - A Fast Track Approach To Learning Data Visualization With Python (Paperback, 1st ed.)
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Practical Python Data Visualization - A Fast Track Approach To Learning Data Visualization With Python (Paperback, 1st ed.)
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Quickly start programming with Python 3 for data visualization with
this step-by-step, detailed guide. This book's programming-friendly
approach using libraries such as leather, NumPy, Matplotlib, and
Pandas will serve as a template for business and scientific
visualizations. You'll begin by installing Python 3, see how to
work in Jupyter notebook, and explore Leather, Python's popular
data visualization charting library. You'll 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. You'll 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 you'll master the core
concepts of data visualization with Pandas and the Jupyter notebook
interface. What You'll 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.
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