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
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.
"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
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