9781718502222 - the book of dash: build dashboards with python and plotly von schroeder, adam; mayer, christian; ward, ann marie (14 Ergebnisse)
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Zustand: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
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Zustand: New.
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Paperback. Zustand: Brand New. 200 pages. 9.25x7.00x0.63 inches. In Stock.
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Zustand: New. In.
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Zustand: New. 2022. Paperback. . . . . . Books ship from the US and Ireland.
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Zustand: Very good.
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Zustand: New. Adam 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.
- Softcover
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Zustand: NEW.
- Softcover
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Taschenbuch. Zustand: Neu. Neuware -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:Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 193 pp. Englisch.
- Softcover
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Taschenbuch. Zustand: Neu. Neuware - 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:Create and run your first Dash appsUse the pandas library to manipulate and analyze social media and API dataCreate a variety of stunning and effective charts using PlotlyLearn to use bar charts, chloropleth maps, contour plots, and moreExamine and build on existing apps written by the prosDash combines several technologies to get you building dashboards quickly and efficiently. This book will do the same.
- Softcover
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Taschenbuch. Zustand: Neu. The Book of Dash | Build Dashboards with Python and Plotly | Adam Schroeder (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2022 | Random House LLC US | EAN 9781718502222 | Verantwortliche Person für die EU: Springer Fachmedien Wiesbaden GmbH, Postfach:15 46, 65189 Wiesbaden, info[at]bo…d[dot]de | Anbieter: preigu.
- Softcover
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Taschenbuch. Zustand: Neu. Neuware -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: 193 pp. Englisch.
