What you would learn in Introduction to Streamlit course?
Welcome to the course introduction to
Streamlit is an Open-Source Python library that allows you to design and publish beautiful custom web applications for data science and machine learning which can be used to share results from analytics and create complex interactive experiences and demonstrate new models for machine learning. You can develop and launch powerful data apps in only a few minutes.
In addition, creating and deployment of Streamlit applications is extremely quick and adaptable, frequently making development time for applications from days to hours.
In this class, we begin with the Streamlit fundamentals. We will be taught the process of downloading and running demonstration Streamlit applications and modifying demo apps with our custom Text Editor, and how we can arrange our Streamlit apps and then create our personal. We will also examine the basics of data visualization with Streamlit. We will be taught how to take input from the user and make some final touches to our applications using text. By the end of this class, you will feel confident creating your Streamlit applications.
In particular, we'll be covering the following topics:
Why is it that Streamlit?
Installing Streamlit
Organizing Streamlit apps
Streamlit plotting demo
The creation of an application from scratch
Course Content:
- Create apps with powerful streamlit features
- Create beautiful web applications in a matter of minutes
- Create a Web App without having any understanding of HTML, CSS, Javascript
- Create Web Apps in Python
- Create a data science-related web application
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