👆 In the above App tour, you will learn about Streamlit basics & its awesome elements!
- You can fork the repl and try the Shell commands below --
$ pip install -r requirements.txt$ streamlit run streamlit_app.py- After running the above commands, it will start the Streamlit App & you can parallelly follow the code alongside for understanding the tour with much ease!
- The #comments in the code will help you navigate through it.
- You can freely use this template to experiment with cool Streamlit elements!
- I have tried my best to make it look simple and easy to understand for everyone 🙂. I've learned so much while making this template, if you use it, please let me know!
📍 Some info about Imports section from streamlit_app.py file ▶
streamlit-- python library for building cool apps!pandas-- creating dataframes (i.e., tables)numpy-- generating random numerical dataaltair-- visulalizing data from dataframesvega-datasets-- data used for generating map withaltair!PIL-- to upload any type of image files
Hope you have fun learning with Streamlit! 😉