📖 Further Learning: For a complete guide on how to build your beautiful dashboard app in pure Python, check out our best-selling book Python Dash with San Francisco Based publisher NoStarch.
Problem Formulation: Can you serve a dash app within a Jupyter notebook rather than in a browser?
Plotly created two Github projects that enable the serving of dash apps in a Jupyter notebook.
- The older
jupyterlab-dashproject is not actively maintained according to its creators from Plotly. You should use have a look at their replacement project:
- The newer
jupyter-dashproject provides you powerful interactive dash functionality within many different types of notebooks such as Jupyter Notebooks, JupyterLab, Visual Studio Code, and even PyCharm Notebooks.
If you’re interested in learning more about how to create beautiful dashboard applications in Python, check out our new book Python Dash.
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.
While working as a researcher in distributed systems, Dr. Christian Mayer found his love for teaching computer science students.
To help students reach higher levels of Python success, he founded the programming education website Finxter.com that has taught exponential skills to millions of coders worldwide. He’s the author of the best-selling programming books Python One-Liners (NoStarch 2020), The Art of Clean Code (NoStarch 2022), and The Book of Dash (NoStarch 2022). Chris also coauthored the Coffee Break Python series of self-published books. He’s a computer science enthusiast, freelancer, and owner of one of the top 10 largest Python blogs worldwide.
His passions are writing, reading, and coding. But his greatest passion is to serve aspiring coders through Finxter and help them to boost their skills. You can join his free email academy here.