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.

• AcknowledgmentsIntroductionPART I: CRASH COURSESChapter 1: Python RefresherChapter 2: PyCharm TutorialChapter 3: Pandas Crash CoursePART II: BUILDING APPLICATIONSChapter 4: First Dash AppChapter 5: Global Data Analysis: Advanced Layouts and GraphsChapter 6: Investment Portfolio: Building Larger AppsChapter 7: Exploring Machine LearningChapter 8: Tips and TricksAppendix: Python BasicsIndex

"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.

• AcknowledgmentsIntroductionPART I: CRASH COURSESChapter 1: Python RefresherChapter 2: PyCharm TutorialChapter 3: Pandas Crash CoursePART II: BUILDING APPLICATIONSChapter 4: First Dash AppChapter 5: Global Data Analysis: Advanced Layouts and GraphsChapter 6: Investment Portfolio: Building Larger AppsChapter 7: Exploring Machine LearningChapter 8: Tips and TricksAppendix: Python BasicsIndex

"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.

• AcknowledgmentsIntroductionPART I: CRASH COURSESChapter 1: Python RefresherChapter 2: PyCharm TutorialChapter 3: Pandas Crash CoursePART II: BUILDING APPLICATIONSChapter 4: First Dash AppChapter 5: Global Data Analysis: Advanced Layouts and GraphsChapter 6: Investment Portfolio: Building Larger AppsChapter 7: Exploring Machine LearningChapter 8: Tips and TricksAppendix: Python BasicsIndex

"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