Introduction to Streamlit Karthik Venkatachalam Data Science- Subject Matter
What is Streamlit ? Streamlit is a Python library that allows you to create interactive web applications with minimal code. You can use Streamlit to display and style data, create widgets, plot charts, and more.  Streamlit is compatible with major Python libraries such as scikit-learn, Keras, PyTorch, SymPy (latex), NumPy, pandas, Matplotlib etc.
Why Streamlit? Streamlit is a versatile framework designed for building data applications in Python. It enables rapid prototyping and iteration, making development efficient. Supports a wide range of interactive web elements, including charts, maps, tables, sliders, buttons, and more. Deployment is simple - you can deploy your app with a single command or host it in the cloud. With a large and active community of users and developers, you'll always have the support and resources you need.
Streamlit Installation Open Anaconda Prompt in Windows start menu 1 In terminal type: pip install streamlit 2 Check Status : streamlit hello 3
Creating Your First Streamlit App import streamlit as st # Display a title st.write("# My first app Hello *world!*")
Running a Streamlit App Create • Create Your Streamlit App • Write your Streamlit app in a Python script, e.g., "my_first_app.py". Open • Open a Terminal • Open a terminal or command prompt on your computer. Navigat e • Navigate to Your Script • Use the 'cd' command to navigate to the directory where your Streamlit app script is located. Run • Run Your Streamlit App • Execute the following command:streamlit run my_first_app.py Access • Access Your Streamlit App • After running the command, a URL will be displayed in the terminal. • Open your web browser and visit the provided URL (usually something like http://localhost:8501)
Result
Thank You Any Query : Contact me at svkarthik86@gmail.com

Introduction to Streamlit Web Application

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    What is Streamlit? Streamlit is a Python library that allows you to create interactive web applications with minimal code. You can use Streamlit to display and style data, create widgets, plot charts, and more.  Streamlit is compatible with major Python libraries such as scikit-learn, Keras, PyTorch, SymPy (latex), NumPy, pandas, Matplotlib etc.
  • 3.
    Why Streamlit? Streamlit isa versatile framework designed for building data applications in Python. It enables rapid prototyping and iteration, making development efficient. Supports a wide range of interactive web elements, including charts, maps, tables, sliders, buttons, and more. Deployment is simple - you can deploy your app with a single command or host it in the cloud. With a large and active community of users and developers, you'll always have the support and resources you need.
  • 4.
    Streamlit Installation Open Anaconda Promptin Windows start menu 1 In terminal type: pip install streamlit 2 Check Status : streamlit hello 3
  • 5.
    Creating Your FirstStreamlit App import streamlit as st # Display a title st.write("# My first app Hello *world!*")
  • 6.
    Running a Streamlit App Create • CreateYour Streamlit App • Write your Streamlit app in a Python script, e.g., "my_first_app.py". Open • Open a Terminal • Open a terminal or command prompt on your computer. Navigat e • Navigate to Your Script • Use the 'cd' command to navigate to the directory where your Streamlit app script is located. Run • Run Your Streamlit App • Execute the following command:streamlit run my_first_app.py Access • Access Your Streamlit App • After running the command, a URL will be displayed in the terminal. • Open your web browser and visit the provided URL (usually something like http://localhost:8501)
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    Thank You Any Query: Contact me at svkarthik86@gmail.com