How to Turn Your Notebooks into Secure, Deployable Dashboards with Panel
The Python ecosystem has many tools for generating visualizations and analyses, but once you have something working in your first scratchpad Jupyter notebook, where do you go from there? Deploying your work to a colleague, boss or customer in a user-friendly format has previously required a big software development project in Python or JavaScript and writing hundreds of lines of code.
Panel is a new open-source Python package that makes it simple to turn what you generate in a notebook into an app with sliders and panes. The simplest apps take only a single line of code, and even complex interlinked applications take only a few dozen lines of straightforward, reactive code. Most importantly, the widgets and apps work whether in a notebook or deployed as a standalone server, eliminating the friction between building the initial analysis, sharing your results, and improving them as you get feedback. Python users can stop relying on an external team to translate their work into something that can make an impact; just share it directly!
Join us in this on-demand webinar as we discuss:
Panel is a new open-source Python package that makes it simple to turn what you generate in a notebook into an app with sliders and panes. The simplest apps take only a single line of code, and even complex interlinked applications take only a few dozen lines of straightforward, reactive code. Most importantly, the widgets and apps work whether in a notebook or deployed as a standalone server, eliminating the friction between building the initial analysis, sharing your results, and improving them as you get feedback. Python users can stop relying on an external team to translate their work into something that can make an impact; just share it directly!
Join us in this on-demand webinar as we discuss:
- New functionality available with Panel
- How to get started using your favorite plotting tools
- How to deploy the results securely
- How containerized deployment systems like Anaconda Enterprise 5 make publishing a dashboard as simple as hitting the “Deploy” button
Meet Our Speaker
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JAMES A. BEDNAR | MANAGER, TECHNICAL SERVICES AT ANACONDADr. Jim Bednar leads the PyViz group at Anaconda, working with commercial and government clients to improve Python software for visualizing and analyzing large and complex datasets. Dr. Bednar holds an M.A. and a Ph.D. in Computer Science from the University of Texas, along with degrees in Electrical Engineering and Philosophy. He has published more than 50 papers and books about the visual system and about software development. Dr. Bednar manages the open source Python projects PyViz, Panel, Datashader, HoloViews, GeoViews, Param, Colorcet, and ImaGen. Before Anaconda, Dr. Bednar was a faculty member in Informatics for ten years at the University of Edinburgh, Scotland.
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