This guide explains how to install Streamlit on both Linux and Windows machines and how to run a Streamlit program.

Streamlit is an open-source Python library that makes it easy to create and share beautiful, custom web apps for machine learning and data science.

• Python 3.7 or above
• pip (Python package manager)

Tip: It is recommended to use a virtual environment to avoid dependency conflicts.

1. Update your system packages (optional):

   sudo apt update

2. (Optional) Create and activate a virtual environment:

   python3 -m venv venv
   source venv/bin/activate

   Replace venv with any name you prefer for your virtual environment.

3. Install Streamlit using pip:

   pip install streamlit

1. (Optional) Create and activate a virtual environment:

   python -m venv venv
   .\venv\Scripts\activate

   Replace venv with any name you prefer.

2. Install Streamlit using pip:

   pip install streamlit

1. Create and activate a virtual environment:

   python3 -m venv venv
   source venv/bin/activate

2. Install required package:

   pip3 install plotly

3. Run the script (example):

   python streamlit_1.py

4. Deactivate the virtual environment:

   deactivate

5. (Optional) Remove the virtual environment files:

   rm -rf venv

1. Create and activate a virtual environment:

   python3 -m venv venv
   source venv/bin/activate

2. Install required packages:

   pip3 install streamlit
   pip3 install plotly
   pip3 install statsmodels

3. Run the script (example):

   python streamlit_2.py

4. Deactivate the virtual environment:

   deactivate

5. (Optional) Remove the virtual environment files:

   rm -rf venv

Note:

• Ensure you are in the correct directory before running these commands.
• Removing the venv folder will delete the virtual environment and all installed packages.

• If you encounter issues, ensure Python and pip are correctly installed.
• For permission errors, try using pip install --user streamlit.
• If you installed in a virtual environment, ensure it's activated before running commands.

Happy Streamlit-ing!