Name: Python Dash: Build Stunning Data Analysis and Visualization Apps With Plotly (en Inglés)
Price: 33170.00 CLP
Availability: InStock
Author: Schroeder, Adam ; Mayer, Christian ; Ward, Ann Marie
ISBN: 9781718502222

portada Python Dash: Build Stunning Data Analysis and Visualization Apps With Plotly (en Inglés)

Formato

Libro Físico

Autor

Editorial

Año

2022

Idioma

Inglés

N° páginas

240

Encuadernación

Tapa Blanda

Dimensiones

22.4 x 18.0 x 2.3 cm

Peso

0.43 kg.

ISBN13

9781718502222

Categorías

Programación web
Lenguajes de programación scripting
Data mining: minería de datos

Python Dash: Build Stunning Data Analysis and Visualization Apps With Plotly (en Inglés)

Christian Mayer (Autor) · Adam Schroeder (Autor) · Ann Marie Ward (Autor) · No Starch Press · Tapa Blanda

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Origen: Reino Unido (Costos de importación incluídos en el precio)

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Reseña del libro "Python Dash: Build Stunning Data Analysis and Visualization Apps With Plotly (en Inglés)"

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 pros Dash combines several technologies to get you building dashboards quickly and efficiently. This book will do the same.