In the Pythonic realm 🐍👑 of data and machine learning web application frameworks Streamlit has been acquiring quite a lot of popularity. In fact, Streamlit is designed to be incredibly user-friendly. You can create interactive web apps with just a few lines of Python code. It abstracts away much of the complexity involved in web development, making it accessible even to those without a web development background.

Please fork this repo and then check the milestones list below. This repo will guide us step-by-step on building a 📊🧑🏽‍🔬DataScience Web Application 🧑🏽‍🔬📊 based on Streamlit.

🗿 Milestones 🪜 🎯👷🏽‍♀️:

1. Setting up a python environment 🐍
2. 🔥🔥 2 Warm-Up Exercises 🔥🔥 on EDA 📊🌈 and Deploy a Machine-Learning Model 🎓🤖
3. ⚡️📚 Quick Reading on Streamlit ⚡️📚
4. Building a 🐧 Web-App with Streamlit: PART I
5. Building a 🐧 Web-App with Streamlit: PART II

• Python 3.11.3 or above up to 3.11.6 (We will use pyenv for Python Version Management but feel free to use any other tool)
• Virtual environment (We will use the module venv from python but you can use any other tool)

For MacOs/Linux users

# Sets the local Python version to 3.11.3 using pyenv
pyenv local 3.11.3 
# Create a Virtual Environment named .streamlit_env using venv
python -m venv .streamlit_env
# Activate the Virtual Environment
source .streamlit_env/bin/activate
# Install Streamlit and Additional Libraries
pip install -r requirements.txt

For Windows users

# Sets the local Python version to 3.11.3 using pyenv
pyenv local 3.11.3 
# Create a Virtual Environment named .streamlit_env using venv
python -m venv .streamlit_env
# Activate the Virtual Environment
.streamlit_env\Scripts\Activate.ps1
# Install Streamlit and Additional Libraries
pip install -r requirements.txt

You can check if Streamlit is installed correctly and run a sample app with the following command:

streamlit hello

This should open a Streamlit web app in your default web browser.

The following is a list of other popular python web framework:

• Django
• Dash
• Flask
• FastAPI

I would like to thank Dr. Paula González Avalos for having introduced me into the Penguins and Streamlit worlds.

The MIT license