Subtitled "Build Dashboards with Python and Plotly", this book offers a swift and practical introduction to building interactive data visualization apps.  Adam Schroeder, Christian Mayer and Ann Marie Ward show how to use the Python Dash library to create analytic dashboards that present data in effective, usable, elegant ways in just a few lines of code.

<ASIN:1718502222>

The book covers the basic format of a Dash app in a Twitter analysis dashboard that tracks numbers of likes over time. Readers 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 visualizes machine learning algorithms.

Authors: Adam Schroeder, Christian Mayer and Ann Marie Ward
Publisher: No Starch Press
Date: October 2022
Pages: 224
ISBN: 978-1718502222
Print: 1718502222
Kindle: B09JB546TQ
Audience: Python developers
Level: Introductory/Intermediate
Category: Python

• Create and run your first Dash apps
• Use the pandas library to manipulate and analyze social media and API data
• Create a variety of stunning and effective charts using Plotly
• Learn to use bar charts, chloropleth maps, contour plots, and more
• Examine and build on existing apps written by the pros

For recommendations of Python books see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section.

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