Streamlit 1 Use Caching Appropriately

1. Use Caching Appropriately (+3)

1. Use Caching Appropriately

# GOOD: Cache data loading
@st.cache_data
def load_data():
    return pd.read_csv("data.csv")

# GOOD: Cache resources (DB connections, models)
@st.cache_resource
def get_model():
    return load_model("model.pkl")

# AVOID: Caching with unhashable arguments
# Use _arg prefix to skip hashing
@st.cache_data
def process_data(_db_connection, query):
    return _db_connection.execute(query)

2. Organize Large Apps

# utils/data.py
def load_data():
    pass

# utils/charts.py
def create_chart(df):
    pass

# app.py
from utils.data import load_data
from utils.charts import create_chart

3. Handle State Carefully

# GOOD: Initialize state at the top
if "data" not in st.session_state:
    st.session_state.data = None

# GOOD: Use callbacks for complex updates
def on_filter_change():
    st.session_state.filtered_data = apply_filter(st.session_state.data)

st.selectbox("Filter", options,

4. Optimize Performance

# Use containers for layout stability
placeholder = st.empty()

# Batch widget updates in forms
with st.form("filters"):
    # Multiple widgets
    st.form_submit_button()

# Use columns for responsive layout
cols = st.columns([1, 2, 1])