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The Book of Dash (Build Dashboards with Python and Plotly)

List Price: $34.99
SKU:
9781718502222
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  • Product Details

    Author:
    Adam Schroeder, Christian Mayer, Ann Marie Ward
    Format:
    Paperback
    Pages:
    224
    Publisher:
    No Starch Press (October 25, 2022)
    Language:
    English
    ISBN-13:
    9781718502222
    ISBN-10:
    1718502222
    Weight:
    15.2oz
    Dimensions:
    6.89" x 9.06" x 0.57"
    File:
    RandomHouse-PRH_Book_Company_PRH_PRT_Onix_full_active_D20260705T121106_156890303-20260705.xml
    Folder:
    RandomHouse
    List Price:
    $34.99
    Case Pack:
    32
    As low as:
    $26.94
    Publisher Identifier:
    P-RH
    Discount Code:
    A
    QuickShip:
    Yes
    Audience:
    General/trade
    Country of Origin:
    United States
    Pub Discount:
    65
    Imprint:
    No Starch Press
  • Overview

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