Dash Tutorial

Dash is a Python-based open-source framework for quickly building data-driven web applications.

Dash's core advantage lies in its ease of use and flexibility, enabling even developers without front-end development experience to get started effortlessly.

Dash allows users to create interactive data visualization applications with simple Python code, without needing to master complex front-end technologies like JavaScript, HTML, and CSS.


Who should read this tutorial?

Dash is a powerful tool suited for developers who want to rapidly build data-driven web applications.

Dash is especially suitable for data scientists, analysts, and engineers. It can create a powerful web application with a few lines of code, showcasing data analysis results, machine learning model predictions, or other data-driven features.

Dash's core goal is to let users focus on data and logic rather than front-end development.

With Dash, you can create a powerful web application with a few lines of code, showcasing data analysis results, machine learning model predictions, or other data-driven features.

Dash can turn complex data analysis and visualization tasks into interactive web applications, thereby presenting and sharing work results more effectively.


What you need to know before learning this tutorial

This tutorial is suitable for developers with a Python foundation. If you are not familiar with Python, you can refer toPython 3.x Basic Tutorial。


A simple Dash program

The following is a basic Dash example:

Example

# Import Dash related libraries
from dash import Dash, dcc, html, Input, Output

# Create a Dash application instance
app = Dash(__name__)

# Define the application layout
app.layout = html.Div([
    # Create a text input box
    dcc.Input(
        id='input',  # Input ID, used for callback function
        value='initial value',  # Default value of the input field
        type='text'  # Input type is text
    ),
    # Create a Div for displaying output
    html.Div(id='output')
])

# Define the callback function
@app.callback(
    Output('output', 'children'),  # Output to the children property of the Div with id 'output'
    Input('input', 'value')  # Input comes from the value property of the input field with id 'input'
)
def update_output_div(input_value):
    # Return a formatted string displaying the user's input
    return f'You entered: {input_value}'

# Run the app
if __name__ == '__main__':
    app.run_server(debug=True)  # Start the app, debug=True enables debug mode

This simple application contains an input box and a display area. When the user enters content in the input box, the display area updates in real time to show what the user has entered.


Related Links

Official website:https://plotly.com/dash/

GitHub open source address:https://github.com/plotly/dash

Dash official documentation:https://dash.plotly.com/

other extensions