The Book of Dash

Build Dashboards with Python and Plotly

Christian Mayer, Adam Schroeder, Ann Marie Ward (Autoren)

Buch | Softcover

224 Seiten

2022
No Starch Press,US (Verlag)
978-1-7185-0222-2 (ISBN)

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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. A swift and practical introduction to building interactive data visualization apps in Python, known as dashboards

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.

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

Erscheinungsdatum	14.10.2022
Verlagsort	San Francisco
Sprache	englisch
Maße	177 x 234 mm
Themenwelt	Informatik ► Weitere Themen ► Hardware
ISBN-10	1-7185-0222-2 / 1718502222
ISBN-13	978-1-7185-0222-2 / 9781718502222
Zustand	Neuware