Understanding Streamlit/Python Application Flow

Streamlit re-executes Python script, each time when the request is sent to the server. You should keep this in mind when building Streamlit apps. There are scenarios when you want to make sure code is not executed on subsequent call. You can control this with Streamlit session object.

 

Streamlit/Python Handling Fast Data Entry

I explain how to enable fast data entry in Streamlit with form component. By default, Streamlit input components execute server call on data change. When wrapped by form component, changes are sent to the server in batch, when Save button is pressed.

 

Streamlit Python/React for Image Annotation

Data annotation is important step in ML model training process. With data annotation tool you can build a dataset and use it to train or finetune the model. There are Streamlit components available to draw on top of images using canvas. In this video I explain how to use these components. How to run them locally to be able to add changes based on your own functionality requirements.

 

Streamlit Python App Setup

I explain my experience setting up the new Streamlit app for development. I share several best practices and hints on how to make application code readable and maintainable. I talk about the development process with Streamlit and why it is a good choice to build UI for new products.

 

Django Python with Oracle JET UI Table

Oracle JET provides a large set of UI components for enterprise apps. I explain how you can display data from Django with Oracle JET table. Data is injected into Django HTML template on the server side and later consumed by JET UI component.