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The Book Of Dash: Build Dashboards with Python and Plotly

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Overview
Highlights
  • No Starch Press,US
  • Mayer, Christian - Schroeder, Adam - Ward, Ann Marie
  • The Book Of Dash: Build Dashboards with Python and Plotly
Specifications
PublisherNo Starch Press,US
ISBN 139781718502222
ISBN 101718502222
AuthorChristian Mayer
Book FormatPaperback
LanguageEnglish
Book DescriptionA 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. A swift and practical introduction to building interactive data visualization apps in Python, known as dashboards
About the AuthorAdam Schroeder has been teaching Plotly Dash for over two years on YouTube as @CharmingData. His videos have over 60 thousand views per month. Adam is passionate about helping people learn data visualization. He has an M.A. in Government and Conflict Resolution and currently works at Plotly. Christian Mayer has a PhD in computer science and is the founder of the popular Python site Finxter.com, an educational platform that helps more than 3 million people a year learn to code. He has published a number of books, including the Coffee Break Python series, and is the author of Python One-Liners (No Starch Press, 2020). Ann Marie Ward is a Dash contributor and a moderator on the Dash community forum. Ann Marie has a BA in Economics and is a retired CEO. She discovered Dash when searching for a better way to analyze financial data and was so amazed by what's possible to create with Dash that she started to learn Python, JavaScript and R. Her contributions to Dash include improving documentation, fixing bugs, and adding features.
Publication Date25 October 2022
Number of Pages224 pages

The Book Of Dash: Build Dashboards with Python and Plotly

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