Streamlit Beginner Guide with Examples

🚀 Streamlit for Beginners – Complete Guide with Examples

Streamlit is a powerful Python library used to create interactive web applications for Data Science, Machine Learning, and Automation — all with just Python. No need for HTML, CSS, or JavaScript!

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Written By: Nivesh Bansal Linkedin, GitHub, Instagram

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🔥 What is Streamlit?

Library Name: Streamlit
Purpose: Convert Python scripts into interactive web apps
Installation: pip install streamlit
Run Command: streamlit run your_script.py
Who Uses It: Data Scientists, ML Engineers, Analysts
Frontend Code Needed: None — only Python

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✅ Step-by-Step Streamlit Guide

🛠 1. Installation

pip install streamlit

Check if it's working:

streamlit hello

📄 2. Run a Streamlit App

streamlit run your_script.py

🖥 3. Display Text in UI

• st.title("Title") → Displays a big page title
• st.header("Header") → Section heading
• st.subheader("Subheader") → Subsection heading
• st.text("Plain text") → For normal text
• st.markdown("*Bold* and _Italic_") → Markdown formatting
• st.code("print('Hello')") → Code block
• st.latex(r"x^2 + y^2 = z^2") → Math equation

✍ 4. Take User Inputs

• st.text_input("Name"): Text input
• st.number_input("Age"): Number input
• st.text_area("About"): Multi-line input
• st.date_input("Date"): Date picker
• st.time_input("Time"): Time picker
• st.selectbox("Select", options): Dropdown
• st.radio("Choose", options): Radio buttons
• st.multiselect("Pick", options): Multi-select
• st.slider("Slide", min, max): Slider
• st.file_uploader("Upload"): File uploader
• st.checkbox("I Agree"): Checkbox
• st.button("Submit"): Button
• st.color_picker("Color"): Color picker

📊 5. Display Charts and Data

• st.dataframe(df): Interactive table
• st.table(df): Static table
• st.metric("Speed", "100 km/h"): Display key metric
• st.line_chart(df): Line chart
• st.bar_chart(df): Bar chart
• st.area_chart(df): Area chart
• st.pyplot(fig): Matplotlib chart
• st.map(df): Map using lat/long

📁 6. Media Display

st.image("img.jpg")      # Show image
st.video("video.mp4")    # Play video
st.audio("audio.mp3")    # Play audio

⚙ 7. Progress and Status

st.progress(50)                  # Show a progress bar
st.spinner("Loading...")         # Show loading spinner
st.success("Done!")              # Green success message
st.error("Something went wrong") # Red error message
st.warning("Be careful!")        # Yellow warning
st.info("FYI...")                # Blue info box

🧠 8. Caching

@st.cache_data
def load_data():
    return some_heavy_function()

💬 9. Sidebar Navigation

st.sidebar.title("Menu")
page = st.sidebar.selectbox("Choose Page", ["Home", "About"])

💾 10. Session State

if "count" not in st.session_state:
    st.session_state.count = 0

if st.button("Increase"):
    st.session_state.count += 1

st.write("Count:", st.session_state.count)

🧪 Full App Example

import streamlit as st

st.title("👋 Hello Streamlit App")

name = st.text_input("Enter your name:")

if st.button("Submit"):
    st.success(f"Hello, {name}!")

📚 Official Resources

• 📘 Streamlit Docs
• 🐙 Streamlit GitHub

✅ Summary

• Build full UI using Python only
• No frontend coding needed
• Supports charts, media, files, inputs, and session memory
• Great for fast dashboards or ML apps

🎯 Project Ideas

• 📈 Stock Price Viewer
• 🌦️ Weather Forecast App
• 🧑‍🎓 Student Registration Form
• 📊 CSV Data Visualizer
• 🧠 MCQ Quiz Generator

💡 Want full source code for any of the projects above? Just drop a comment and I’ll reply with the source and setup guide.

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Written By: Nivesh Bansal Linkedin, GitHub, Instagram

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