https://github.com/cllspy/learn-streamlit
repo to master streamlit
https://github.com/cllspy/learn-streamlit
Last synced: 12 months ago
JSON representation
repo to master streamlit
- Host: GitHub
- URL: https://github.com/cllspy/learn-streamlit
- Owner: CllsPy
- Created: 2024-11-16T19:34:08.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-12-09T18:50:32.000Z (over 1 year ago)
- Last Synced: 2025-02-07T19:15:49.542Z (about 1 year ago)
- Language: Python
- Size: 26 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Streamlit Learning and Mastery Repository
Welcome to my personal repository where I am learning and mastering **Streamlit**—a powerful framework for creating data applications with Python. This repo contains a series of projects, experiments, and examples that demonstrate my journey in building interactive web applications using Streamlit.
## 🚀 About this Repo
This repository is a collection of my **learning progress** with Streamlit. As I explore its features and capabilities, I'll be continuously adding new projects and improving old ones. Here, you'll find:
- **Streamlit Apps**: Interactive web applications powered by Streamlit, showcasing data analysis, visualization, and user interfaces.
- **Tutorials and Demos**: Small, self-contained projects demonstrating key features of Streamlit, including widgets, layouts, charts, and data manipulation.
- **Experimentation**: Exploration of new features and integrations with other libraries (e.g., Pandas, Matplotlib, Plotly, etc.).
## 📚 Learning Goals
- Master the fundamentals of Streamlit, including layouts, widgets, and real-time updates.
- Build interactive applications that integrate with external data sources (APIs, databases, etc.).
- Explore advanced Streamlit capabilities like custom components, caching, and deployment on platforms like Heroku or Streamlit Cloud.
## 🛠️ Technologies Used
- **Streamlit** – Primary tool for building interactive web apps.
- **Python** – The core programming language.
- **Pandas**, **NumPy** – For data manipulation and analysis.
- **Matplotlib**, **Plotly** – For visualizations.
- **Other Libraries** – Depending on the project, I may also integrate other tools like Scikit-learn, TensorFlow, or Plotly Dash.
## 📌 Projects
Here are some of the notable projects I'm working on:
1. **[Basic Data Dashboard](#)** – A simple app displaying interactive data visualizations using real-world datasets.
2. **[Machine Learning Model Visualizer](#)** – Visualize how different machine learning models perform with varying datasets.
3. **[Weather App](#)** – Real-time weather data fetching and displaying in an easy-to-read interface.
4. **[Sentiment Analysis Dashboard](#)** – A text-based sentiment analysis tool with live results from social media feeds.
## 💡 Contributing
Since this repo is primarily for learning, contributions are welcome! If you have any suggestions for improvements, tips for mastering Streamlit, or want to share your own projects, feel free to open an issue or create a pull request.
## 📈 Status
I am continuously working on expanding this repository, so check back often for new apps, examples, and learnings. If you're also learning Streamlit, let's connect and share knowledge!
## 🔗 Links
- [Streamlit Official Documentation](https://docs.streamlit.io)
- [Streamlit Community](https://discuss.streamlit.io)
---
*Happy Coding, and stay interactive!*