https://github.com/codehariom/streamlit-cheat-sheet
Complete Streamlit cheat sheet with Code
https://github.com/codehariom/streamlit-cheat-sheet
stremalit stremlit stremlitcheat stremlitcmd stremlitcode
Last synced: 6 months ago
JSON representation
Complete Streamlit cheat sheet with Code
- Host: GitHub
- URL: https://github.com/codehariom/streamlit-cheat-sheet
- Owner: codehariom
- License: gpl-3.0
- Created: 2024-04-21T02:00:02.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-04-24T07:18:29.000Z (almost 2 years ago)
- Last Synced: 2025-04-09T06:34:49.520Z (10 months ago)
- Topics: stremalit, stremlit, stremlitcheat, stremlitcmd, stremlitcode
- Homepage:
- Size: 39.1 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Streamlit Cheat Sheet
Streamlit Cheat Sheet: A Quick Reference Guide for Streamlit Users
Looking to accelerate your development with Streamlit? This cheat sheet provides a handy reference for common Streamlit commands and functions, helping you build interactive web applications with ease.
Whether you're new to Streamlit or a seasoned user, this cheat sheet covers essential features such as displaying text, rendering Markdown, showcasing dataframes and tables, visualizing JSON data, and much more. With simple explanations and examples, it's designed to streamline your workflow and boost productivity.
Key Features:
- Quick reference guide for Streamlit commands and functions
- Easy-to-understand explanations and examples
- Covers essential features for building interactive web applications
- Suitable for beginners and experienced users alike
Download the Streamlit Cheat Sheet now to supercharge your Streamlit projects and create engaging data-driven applications effortlessly!
---
## Documentation
Streamlit documentation
Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver dynamic data apps with only a few lines of code. Build and deploy powerful data apps in minutes. Let's get started!
[Documentation](https://docs.streamlit.io/)
## Tech Stack
**Code -** Python
## š About Me
š¤ Iām looking for help with Python
š± Iām currently Playing With Data
š¬ Data Scientist || Data Analyst || 5āļø SQL in HackerRank || Digital Marketer
## Authors
- [@codehariom](https://www.github.com/codehariom)
## License
[GPL License](https://github.com/codehariom/Streamlit-cheat-sheet/blob/6220b576bdef2afe2b30fc904fb84a3a78ae3805/LICENSE)