The text discusses the use of native Python caching to create fast dashboards in Streamlit. The author shares their positive experience with Streamlit, highlighting its ease of use but also noting potential drawbacks, such as poor Python code appearance and slow dashboard performance. They explain how they achieved significantly improved performance using a caching method, specifically @functools.lru_cache, compared to Streamlit’s native @st.cache_data decorator.
PYTHON PROGRAMMING
Learn how to use native Python caching to implement blazing-fast dashboards.
Introduction
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