![]() Deployment of a web server is a separate skill that takes time and is costly.You typically have to deploy your Panel app to a web server. Panel lets you write dashboards and other applications in Python that are accessed using a web browser. Run Panel apps entirely in your browser ΒΆ In particular we would like to thank 2WoLpH, and the core team consisting of and you are using Anaconda, you can get the latest Panel with conda install -c pyviz panel, and using pip you can install it with pip install panel. Many, many thanks to everyone who filed issues or contributed to this release. preview your apps inside Jupyter using custom Jupyter kernels.find the information you need via improved documentation, docstring and type annotations.we now have our own CDN ( ) to serve assets to your data app fast.we now provide the easy to use pn.cache decorator.build data apps that load faster because.display large tables with a much more robust Tabulator widget.provide error messages to your users via a global exception handler.run your apps and documentation in in the browser.Improvements to static typing and docstrings to enhance the developer experience.Quality of life improvements to make it easier to build responsive and performant applications.Support for running Panel entirely in the browser using WebAssembly (via Pyodide and PyScript).We are very pleased to announce the 0.14 release of Panel! This release focuses on three main themes: Please check out the Panel website to find out more. Easily switch between exploring your data, building visualizations, adding custom interactivity, sharing with non-technical users, and back again at any point, using the same tools and code throughout. Your workflows: Move the same code freely between a Jupyter Notebook (or other interactive prompt), your IDE, and standalone apps running in the browser or on a server.Your code: Step into Panel with your existing work :) Continue to use the PyData ecosystem that you already know and love: matplotlib, seaborn, ggplot, bokeh, plotly, altair, echarts, holoviews, dask, datashader, and more!.Panel integrates seamlessly with your existing work: Panel is an open-source library that lets you create custom interactive web apps and dashboards by connecting widgets to plots, images, tables, and text - all while writing only Python! ![]()
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