Will Shiny be able to grab some of that user base? Time will tell. Currently, Python’s most popular web app frameworks are Streamlit and Dash. I am really curious to see the next developments of Shiny for Python and its adoption. However, with this example, I wanted to show how simple it is to build something from scratch in a matter of minutes. Naturally, we can build infinitely more complex apps with Shiny. The following snippet contains the code of the app: It generates a sample app.py file containing a simple demo app. When we are in the directory, we run the following command: shiny create. Then, we need to create a directory, for example: mkdir python_shiny_example cd python_shiny_example We can do so using pip: pip install shiny Let’s dive right into it! Shiny for PythonĪs always, we need to start with installing the library. We will not go into details of how Shiny actually works, as there are already a lot of great tutorials covering that topic on Medium. In this article, we will see how to create simple Shiny apps in Python. But we can already take it for a spin and see how it works. Shiny for Python is currently in the alpha stage and probably a lot will change in the coming months. Now, we can also use the framework in Python. Since its introduction 10 years ago, R Shiny was widely adopted in the community. But in case it does, it is a package/framework that allows data scientists to build interactive web apps straight from R, without any web development knowledge. I am quite certain that R Shiny does not require an introduction. The company is just expanding its data science ecosystem.Īt the same time, Posit announced the release of Shiny for Python. However, R users were set at rest that the company is not pivoting from R to Python and RStudio IDE is not going to be renamed. Their efforts will now also cover Python users and integration with Visual Studio Code. Recently RStudio announced that the company is going to change its name to Posit (meaning: to propose an idea or theory) to reflect the company’s plans to expand its focus beyond R. Shiny is joining the ranks of web app tools such as Streamlit and Dash
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