Panel is an open-source Python library that lets you easily build powerful tools, dashboards and complex applications entirely in Python. Panel has a batteries-included philosophy, putting the PyData ecosystem, powerful data tables and much more at your fingertips. High-level reactive APIs and lower-level callback based APIs ensure you can quickly build exploratory applications, but you aren’t limited if you build complex, multi-page apps with rich interactivity. Panel is a member of the HoloViz ecosystem, your gateway into a connected ecosystem of data exploration tools.
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It's been quite a while since my last blog! This time, I wanted to share something I commonly do when developing, which is creating minimal reproducible examples, and why I keep coming back to it: https://lnkd.in/gzWj8cnv 1. No distractions from the rest of the codebase. 2. Faster iteration. 3. Reusable knowledge. 4. Share & debug together.
Do you know our sister library hvPlot works really well with XArray (labelled multi-dimensional arrays)?👉Check out the XArray guide https://lnkd.in/dkHXWkGE #python #dataviz #datascience
Want to create robust data apps? Then you need an easily testable framework like Panel. 👉Check out our testing how-to guides https://lnkd.in/etZwYqMw #python #dataviz
Check out Douglas Hagey. 🏋️He has been sharing some incredible sports data visualizations using our and similar datavisualization ecosystems for many years. Always interacting positively with our community.
Hi everyone! I’m open to new remote roles as a Data Analyst, Data Scientist, Data Engineer, Data Visualization Specialist or Python Developer. If you hear of any opportunities please send me a message or comment below. I’d love to reconnect. #OpenToWork
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🗓️panel-full-calendar integrates the powerful FullCalendar JavaScript library with the Panel ecosystem, enabling interactive calendar widgets directly in notebooks and data apps. 👉Check out https://lnkd.in/dtUD33H3. #python #dataviz #datascience #analytics
Want to add Panel applications to your Jupyter Launcher? You can do this with jupyter-panel-proxy. 👉Check out https://lnkd.in/dNeGDJb7 Project Jupyter #python #dataviz #DataScience
When asking for help in the HoloViz community forum or creating an issue on GitHub, you can make our contributors’ work much smoother by providing a Minimum Reproducible Example (MRE). An MRE shows exactly what’s going wrong in the smallest possible way — making it faster and easier for others to understand, debug, and help you out. If you’re not sure how to make one, check out this excellent guide 👇 🔗 https://lnkd.in/dFuH8dcr Let’s make collaboration and learning easier for everyone in the HoloViz community ❤️ #HoloViz #Panel #Python #OpenSource #Community #DataScience #DataViz
Want to compare Streamlit and Panel? 👉 Check out our comprehensive set of guides https://lnkd.in/eyjayHrc.