The Book of Dash Build Dashboards with Python and Plotly

The Book of Dash Build Dashboards with Python and Plotly by Adam Schroeder, published by No Starch Press on October 25, 2022, is a practical guide designed for those interested in creating interactive dashboard applications using Python. This 224-page book provides a swift introduction to the Dash visualization tool, enabling readers to build user-friendly interfaces that effectively present data. It covers the necessary software and quickly transitions into hands-on projects, making it suitable for beginners.
Readers will find step-by-step instructions for developing various dashboard projects, including a Twitter analysis dashboard and a financial portfolio model. The book emphasizes the use of the pandas library for data manipulation and offers insights into creating diverse visualizations with Plotly, such as bar charts and chloropleth maps. With a focus on practical skills, the final chapter addresses debugging and applying color themes, ensuring readers can enhance their coding capabilities while building effective data analytics tools.
Official synopsis Publisher
Create stunning interactive dashboard applications in Python with the Dash visualization and data analysis tool. Build interfaces that make sense of your data, and make it pretty.
A swift and practical introduction to building interactive data visualization apps in Python, known as dashboards. You’ve seen dashboards before; think election result visualizations you can update in real time, or population maps you can filter by demographic. With the Python Dash library you’ll create analytic dashboards that present data in effective, usable, elegant ways in just a few lines of code.
The book is fast-paced and caters to those entirely new to dashboards. It will talk you through the necessary software, then get straight into building the dashboards themselves. You’ll learn the basic format of a Dash app in a Twitter analysis dashboard that tracks numbers of likes over time. You’ll then build up skills through three more sophisticated projects. The first compares world data in three areas: volume of internet usage, percentage of parliament seats held by women, and CO2 emissions; the second is a financial portfolio dashboard that models your investments; and the third is visualizesmachine learning algorithms. The final chapter sets you up with some useful final skills, like debugging your code and applying color themes.
In this book you will:
Dash combines several technologies to get you building dashboards quickly and efficiently. This book will do the same.
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