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Roberto Mesado
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MOD: Update docs links throughout codebase
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README.md

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The official Python client library for [Databento](https://databento.com).
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Key features include:
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- Fast, lightweight access to both live and historical data from [multiple markets](https://databento.com/docs/knowledge-base/new-users/venues-and-publishers?historical=python&live=python).
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- [Multiple schemas](https://databento.com/docs/knowledge-base/new-users/market-data-schemas?historical=python&live=python) such as MBO, MBP, top of book, OHLCV, last sale, and more.
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- [Fully normalized](https://databento.com/docs/knowledge-base/new-users/normalization?historical=python&live=python), i.e. identical message schemas for both live and historical data, across multiple asset classes.
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- Fast, lightweight access to both live and historical data from [multiple markets](https://databento.com/docs/faqs/venues-and-publishers).
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- [Multiple schemas](https://databento.com/docs/schemas-and-data-formats/whats-a-schema?historical=python&live=python) such as MBO, MBP, top of book, OHLCV, last sale, and more.
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- [Fully normalized](https://databento.com/docs/standards-and-conventions/normalization?historical=python&live=python), i.e. identical message schemas for both live and historical data, across multiple asset classes.
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- Provides mappings between different symbology systems, including [smart symbology](https://databento.com/docs/api-reference-historical/basics/symbology?historical=python&live=python) for futures rollovers.
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- [Point-in-time]() instrument definitions, free of look-ahead bias and retroactive adjustments.
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- Reads and stores market data in an extremely efficient file format using [Databento Binary Encoding](https://databento.com/docs/knowledge-base/new-users/dbn-encoding?historical=python&live=python).
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- Reads and stores market data in an extremely efficient file format using [Databento Binary Encoding](https://databento.com/docs/standards-and-conventions/databento-binary-encoding?historical=python&live=python).
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- Event-driven [market replay](https://databento.com/docs/api-reference-historical/helpers/bento-replay?historical=python&live=python), including at high-frequency order book granularity.
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- Support for [batch download](https://databento.com/docs/knowledge-base/new-users/stream-vs-batch?historical=python&live=python) of flat files.
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- Support for [batch download](https://databento.com/docs/faqs/streaming-vs-batch-download?historical=python&live=python) of flat files.
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- Support for [pandas](https://pandas.pydata.org/docs/), CSV, and JSON.
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## Documentation
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The best place to begin is with our [Getting started](https://databento.com/docs/getting-started?historical=python&live=python) guide.
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The best place to begin is with our [Getting started](https://databento.com/docs/quickstart?historical=python&live=python) guide.
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You can find our full client API reference on the [Historical Reference](https://databento.com/docs/api-reference-historical?historical=python&live=python) and
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[Live Reference](https://databento.com/docs/reference-live?historical=python&live=python) sections of our documentation. See also the
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```
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Note that the API key was also passed as a parameter, which is
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[not recommended for production applications](https://databento.com/docs/knowledge-base/new-users/security-managing-api-keys?historical=python&live=python).
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[not recommended for production applications](https://databento.com/docs/portal/api-keys?historical=python&live=python).
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Instead, you can leave out this parameter to pass your API key via the `DATABENTO_API_KEY` environment variable:
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```python

databento/common/dbnstore.py

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See Also
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--------
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https://databento.com/docs/knowledge-base/new-users/dbn-encoding
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https://databento.com/docs/standards-and-conventions/databento-binary-encoding
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"""
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