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The Book of Dash

Build Dashboards with Python and Plotly

Author Adam Schroeder, Christian Mayer, Ann Marie Ward
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Paperback
$34.99 US
| $45.99 CAN
No Starch | No Starch Press
On sale Oct 25, 2022 | 224 Pages | 9781718502222
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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.
    "The bottom line is that [The Book of Dash] . . . is a convenient quick introduction that paves the way for Python programmers who are faced with the task of realizing a dashboard."
    —Tam Hanna, Founder of Tamoggemon Software

    “Very easy to understand . . . You can sense that the authors want to share their knowledge. . . . Overall [The Book of Dash] is an amazing book that data analysts must have when working with Python.”
    —Tânia Frazão, Python Coder

    “[The Book of Dash] fills the void of becoming master in Plotly Dash and Dashboards.”
    —Sanjeev Sharma, Python Coder

    “With [The Book of Dash], the authors have provided some great examples showing how easy and quickly it is to get a visualization up and running with just a few tools. While the book requires some familiarity with Python, it provides a refresher on basic programming topics in the first couple of chapters, then jumps into the topic at hand with some easy-to-follow examples. I’m looking forward to developing some of my own visual apps with what I’ve learned.”
    —Scott Chouinard, Senior Gaming Analyst, Service Nova Scotia

    "The understanding of Dash I gained in this book provided me with a whole new way to analyze and visualize data.”
    —Jordan Marshal, Python Developer

    “Just the book I’ve been looking for. This is the perfect next step for any Python student seeking to pivot into the Data Science niche. Easy to follow, and practical examples left me with the confidence to start on my own projects. Highly recommended.”
    —Peter Rubio, Python Author
     
    "My journey with Dash began when I stumbled upon one of Adam's videos by accident. After a lot of trial and error and digging through pages of documentation and blog posts, this is the book I wish I had when I first started. It is thorough and covers quite a number of often challenging topics and techniques with ease."
    —Brad Bartram, Founder of Darksbian Data Services
    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.
    Adam Schroeder View titles by Adam Schroeder
    Christian Mayer View titles by Christian Mayer
    Ann Marie Ward View titles by Ann Marie Ward
    Acknowledgments
    Introduction
    PART I: CRASH COURSES
    Chapter 1: Python Refresher
    Chapter 2: PyCharm Tutorial
    Chapter 3: Pandas Crash Course
    PART II: BUILDING APPLICATIONS
    Chapter 4: First Dash App
    Chapter 5: Global Data Analysis: Advanced Layouts and Graphs
    Chapter 6: Investment Portfolio: Building Larger Apps
    Chapter 7: Exploring Machine Learning
    Chapter 8: Tips and Tricks
    Appendix: Python Basics
    Index

    About

    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.

    Reviews

    "The bottom line is that [The Book of Dash] . . . is a convenient quick introduction that paves the way for Python programmers who are faced with the task of realizing a dashboard."
    —Tam Hanna, Founder of Tamoggemon Software

    “Very easy to understand . . . You can sense that the authors want to share their knowledge. . . . Overall [The Book of Dash] is an amazing book that data analysts must have when working with Python.”
    —Tânia Frazão, Python Coder

    “[The Book of Dash] fills the void of becoming master in Plotly Dash and Dashboards.”
    —Sanjeev Sharma, Python Coder

    “With [The Book of Dash], the authors have provided some great examples showing how easy and quickly it is to get a visualization up and running with just a few tools. While the book requires some familiarity with Python, it provides a refresher on basic programming topics in the first couple of chapters, then jumps into the topic at hand with some easy-to-follow examples. I’m looking forward to developing some of my own visual apps with what I’ve learned.”
    —Scott Chouinard, Senior Gaming Analyst, Service Nova Scotia

    "The understanding of Dash I gained in this book provided me with a whole new way to analyze and visualize data.”
    —Jordan Marshal, Python Developer

    “Just the book I’ve been looking for. This is the perfect next step for any Python student seeking to pivot into the Data Science niche. Easy to follow, and practical examples left me with the confidence to start on my own projects. Highly recommended.”
    —Peter Rubio, Python Author
     
    "My journey with Dash began when I stumbled upon one of Adam's videos by accident. After a lot of trial and error and digging through pages of documentation and blog posts, this is the book I wish I had when I first started. It is thorough and covers quite a number of often challenging topics and techniques with ease."
    —Brad Bartram, Founder of Darksbian Data Services

    Author

    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.
    Adam Schroeder View titles by Adam Schroeder
    Christian Mayer View titles by Christian Mayer
    Ann Marie Ward View titles by Ann Marie Ward

    Table of Contents

    Acknowledgments
    Introduction
    PART I: CRASH COURSES
    Chapter 1: Python Refresher
    Chapter 2: PyCharm Tutorial
    Chapter 3: Pandas Crash Course
    PART II: BUILDING APPLICATIONS
    Chapter 4: First Dash App
    Chapter 5: Global Data Analysis: Advanced Layouts and Graphs
    Chapter 6: Investment Portfolio: Building Larger Apps
    Chapter 7: Exploring Machine Learning
    Chapter 8: Tips and Tricks
    Appendix: Python Basics
    Index

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