Database Management with Python, Streamlit & MongoDB

Integrating MongoDB Database Management into your Streamlit application can provide easy access to database content. Whether you're building a login, signup functionality or any full stack application using Streamlit, or just want to create a authorization layer into your application, this step-by-step guide will help you seamlessly incorporate DB management into your Streamlit app using the Python language.

Step 1. Create a virtual environment

• Create a folder and open it in your Code editor like VS Code, PyCharm, etc.
• Open a terminal or powershell or command prompt.
• Write the below command to build & activate your virtual python environment.

python -m venv myenv

.\myenv\Scripts\activate

• If there will be any error occurs, related to `ExecutionPolicy` during activation of virtual environment, run the below command. Otherwise, skip this command.

Set-ExecutionPlicy -Scope Process -ExecutionPolicy Bypass

• To deactivate your python virtual environment.

deactivate

Step 2. Install required dependencies

Next, you need to install all the required dependencies to setup this db management. All the required dependencies are listed below:

• Streamlit
• PyMongo
• Pandas

Run the below command in your shell to install all these dependencies,

pip install streamlit pymongo pandas