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:
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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 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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : Aspen Book Co., Denver, CO, Etats-Unis
Etat : good. A well-loved companion. Corners and cover might show a little wear, and you could find some notes or highlights. The dust jacket might be MIA, it might have been a library book and extras aren't guaranteedâ"but the story's all there! N° de réf. du vendeur PKV.1718502222.G
Quantité disponible : 1 disponible(s)
Vendeur : Better World Books, Mishawaka, IN, Etats-Unis
Etat : Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good. N° de réf. du vendeur 51840563-6
Quantité disponible : 1 disponible(s)
Vendeur : Better World Books, Mishawaka, IN, Etats-Unis
Etat : 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. N° de réf. du vendeur 51841425-6
Quantité disponible : 1 disponible(s)
Vendeur : HPB-Red, Dallas, TX, Etats-Unis
paperback. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! N° de réf. du vendeur S_450560519
Quantité disponible : 1 disponible(s)
Vendeur : ThriftBooks-Dallas, Dallas, TX, Etats-Unis
Paperback. Etat : Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. N° de réf. du vendeur G1718502222I4N10
Quantité disponible : 1 disponible(s)
Vendeur : BooksRun, Philadelphia, PA, Etats-Unis
Paperback. Etat : Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. N° de réf. du vendeur 1718502222-8-1
Quantité disponible : 1 disponible(s)
Vendeur : Bellwetherbooks, McKeesport, PA, Etats-Unis
paperback. Etat : Fine. LIKE NEW!!! Has a red or black remainder mark on bottom/exterior edge of pages. N° de réf. du vendeur 449381
Quantité disponible : 10 disponible(s)
Vendeur : World of Books (was SecondSale), Montgomery, IL, Etats-Unis
Etat : Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc. N° de réf. du vendeur 00098449609
Quantité disponible : 1 disponible(s)
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Etat : New. N° de réf. du vendeur 43818086-n
Quantité disponible : 15 disponible(s)
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Paperback. Etat : new. Paperback. 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.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. "An introduction to building interactive data visualization apps in Python, known as dashboards. Covers how to build a Twitter analysis visualizer, an app that compares global data, an app that predicts the effectivity of variable investment portfolios, and a dashboard for visualizing machine learning algorithms"-- Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781718502222
Quantité disponible : 1 disponible(s)