Streamlit is a none commercial and non-proprietary tool that provides an ability to develop and deploy the glamorous Machine Learning and Data Science web applications at high speed without having a technical knowledge of web development or even programing languages. Built for machine learning engineers, Streamlit uses Python to bring speed to the process of building interactive data applications. For improved performance, course offerings that involve Streamlit training are ideal in ensuring that a person learn the skills needed to get the most from the tool.
For those who want to gain more knowledge, there is an opportunity to take an online course Use Streamlit course to progress in your studying. Many of them provide an overview of the foundation and the details of the tool and how you can use Streamlit to your fullest potential for designing beautiful and fully functional web apps for your machine learning projects.
What Will You Learn?
- Open-Source: Streamlit is a freely available framework with no cost or proprietary restrictions.
- Python-Based: It uses Python, making it accessible for those already familiar with the language.
- Dynamic Data Apps: Designed to create interactive and visually engaging data applications.
- Minimal Code: Allows for development with only a few lines of code, streamlining the process.
- Rapid Deployment: Facilitates quick building and deployment of powerful data apps.
- Targeted for Data Scientists and AI/ML Engineers: Specifically designed to meet the needs of professionals in these fields.