Minute 1: Install Dash
Type the following command in your terminal/shell.
pip install dash
sudo pip install dash
Minute 2: Create Minimal Dash Project File “app.py”
Copy&paste the code into a new file called “
app.py” in a folder – with path
# file app.py import dash import dash_core_components as dcc import dash_html_components as html import plotly.graph_objects as go es = ['https://codepen.io/chriddyp/pen/bWLwgP.css'] app = dash.Dash(__name__, external_stylesheets=es) xs = list(range(30)) ys = [10000 * 1.07**i for i in xs] fig = go.Figure(data=go.Scatter(x=xs, y=ys)) fig.update_layout(xaxis_title='Years', yaxis_title='$') app.layout = html.Div(children=[ html.H1(children='Assets'), dcc.Graph(figure=fig)]) if __name__ == '__main__': app.run_server(debug=True)
Minute 3: Run Dash App
Open a terminal or shell in the
/path/to/dash_app/ and run
python app.py in it:
$ python app.py
Minute 4: Open Dash App in Your Browser
Copy or click on the IP address
127.0.0.1:8050 and open it in your browser.
While working as a researcher in distributed systems, Dr. Christian Mayer found his love for teaching computer science students.
To help students reach higher levels of Python success, he founded the programming education website Finxter.com. He’s author of the popular programming book Python One-Liners (NoStarch 2020), coauthor of the Coffee Break Python series of self-published books, computer science enthusiast, freelancer, and owner of one of the top 10 largest Python blogs worldwide.
His passions are writing, reading, and coding. But his greatest passion is to serve aspiring coders through Finxter and help them to boost their skills. You can join his free email academy here.