Getting Started With Streamlit For Data Science Pdf -

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@st.cache_data def get_data(name): if name == "Iris": # Sample URL for Iris dataset url = "https://raw.githubusercontent.com/mwaskom/seaborn-data/master/iris.csv" return pd.read_csv(url) elif name == "Tips": url = "https://raw.githubusercontent.com/mwaskom/seaborn-data/master/tips.csv" return pd.read_csv(url) else: # Generate random data return pd.DataFrame(np.random.randn(50, 3), columns=['A', 'B', 'C'])

https://share.streamlit.io/daniellewisdl/streamlit-cheat-sheet getting started with streamlit for data science pdf

: Setting up a development environment and creating a basic "Hello World" app.

col1, col2 = st.columns(2)

Save the file as app.py and run:

# Activate the environment # On Windows: streamlit_env\Scripts\activate Expanders are useful for hiding code or detailed

Streamlit provides simple API calls to format text.