Streamlit

Streamlit turns data scripts into shareable web apps in minutes. All in pure Python. No front‑end experience required.

Setup

Clone the Repo (use this template)

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1. In this GitHub repo, click on "Use this Template" (the green button at the top of this page)

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2. Name the repo streamlit-app

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3. In your GitHub-Account, click on the green Code button and select Open with GitHub Desktop to copy the streamlit-app repository to your local machine.

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Run the app

In your terminal (Mac) or Anaconda Command Prompt (Windows):

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• Step 1: cd into the streamlit-app folder (replace YOURPATH with your path to the folder streamlit-app)

cd YOURPATH/streamlit-app

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• Step 2: install all needed Python libraries from the environment.yml file to create a virtual environment named env-streamlit.yml:

conda env create -f env-streamlit.yml

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• Step 3: Activate the streamlit environment:

conda activate streamlit

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• Step 4: Change current directory (cd) into 1-first-app

cd 1-first-app

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• Step 5: Start the app:

streamlit run app.py

• If asked for your e-mail, you can simply press enter (you don't need to provide this information)

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• Step 6: The command should open your browser and display the app.

• If your browser opened but only displays a blank screen (this may happen if you use Safari), copy the url and paste it in another browser (e.g., Chrome).

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Start VS Code

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• Step 7: Start Visual Studio Code and click on Open Folder in the Explorer. Select the streamlit-app folder.

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• Step 8: In the VS Code Explorer, select 1-first-app and open the file app.py (this is the code of the app)

• While developing a Streamlit app, it's recommended to lay out your VS code editor and browser windows side by side, so the code and the app can be seen at the same time.

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• Step 9: VS Code: In the code of app.py, change st.title("My first App") to st.title("Hello World!") and save the changes.

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• Step 10: Refresh your browser to display the changes.

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• Step 11: If you are done, close the browser window, go to your terminal and stop your app with Ctrl+C (or simply close the terminal window).

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Guides

• Get familiar with the main concepts

• API reference

• Cheat Sheet

• Layout

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• App demo:

streamlit hello

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A Streamlit demo to interactively visualize Uber pickups in New York City: