Getting Started With Streamlit For Data Science Pdf |work| -

# --- 2. Data Loading Function with Caching --- @st.cache_data def load_data(dataset): if dataset == "Iris": url = "https://raw.githubusercontent.com/mwaskom/seaborn-data/master/iris.csv" elif dataset == "Tips": url = "https://raw.githubusercontent.com/mwaskom/seaborn-data/master/tips.csv" else: return pd.DataFrame(np.random.randn(50, 3), columns=['A', 'B', 'C']) return pd.read_csv(url)

: Describes the book as a way to "master this new superpower," turning readers into "Streamlit sorcerers" by starting with basic analysis and moving to complex interactive models. getting started with streamlit for data science pdf

https://share.streamlit.io/daniellewisdl/streamlit-cheat-sheet # --- 2

If you are looking for a portable version of this tutorial to read offline, you can simply and select "Save as PDF" in your browser settings. This will preserve the code blocks and formatting for your future reference. getting started with streamlit for data science pdf

Streamlit makes deployment incredibly easy via .

# Activate the environment # On Windows: streamlit_env\Scripts\activate