A naukri.com initiative
PlanetPython
3w
79
Image Credit: PlanetPython
Python GUIs: Getting Started with Streamlit ��� Build your first Streamlit app and explore some basic features
- Streamlit is an open-source Python library for creating and sharing custom web apps for machine learning and data science.
- Installing Streamlit requires using pip to install; after installation, create a main Python file to write and edit the Streamlit app.
- Streamlit allows adding titles, headings, and paragraphs to format text with ease, making it user-friendly for data visualization.
- Buttons in Streamlit enable interactivity; examples include basic buttons, download buttons, and radio buttons for options.
- Sliders in Streamlit are used to select values by moving a handle along a track; both single-value and range sliders are supported.
- Dropdown menus in Streamlit are added using st.selectbox() to provide users with a selection from a predefined list.
- A sidebar in Streamlit is an additional panel on the left side of the app for interactive widgets or displaying accessible information.
- Creating a web app in Streamlit involves combining concepts like dataset display, sidebar controls, filtered data display, and basic statistics.
- This tutorial covers various functions and features in Streamlit, demonstrating how to create interactive web apps for data exploration.
- Adapting the provided examples allows for the creation of user-friendly data exploration tools using Streamlit for different datasets.
Read Full Article
4 Likes
For uninterrupted reading, download the app