How to request historical market data using Python | Databento
Learn how to request historical market data using our Python client library.
00:00 — Intro and API keys
00:18 — Installation
00:35 — Initialize historical client
00:58 — Request data (timeseries.get_range)
01:11 — Request parameters
02:20 — pandas DataFrame conversion
02:59 — Outro: Documentation and support
If our Python, C++, and Rust client libraries don't offer your preferred language, you can still integrate our historical service through its HTTP API.
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Documentation: https://to.dbn.to/DatabentoDocs
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