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10 | 10 | The official Python client library for [Databento](https://databento.com). |
11 | 11 |
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12 | 12 | Key features include: |
13 | | -- 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). |
14 | | -- [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. |
15 | | -- [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. |
| 13 | +- Fast, lightweight access to both live and historical data from [multiple markets](https://databento.com/docs/faqs/venues-and-publishers). |
| 14 | +- [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. |
| 15 | +- [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. |
16 | 16 | - 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. |
17 | 17 | - [Point-in-time]() instrument definitions, free of look-ahead bias and retroactive adjustments. |
18 | | -- 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). |
| 18 | +- 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). |
19 | 19 | - 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. |
20 | | -- Support for [batch download](https://databento.com/docs/knowledge-base/new-users/stream-vs-batch?historical=python&live=python) of flat files. |
| 20 | +- Support for [batch download](https://databento.com/docs/faqs/streaming-vs-batch-download?historical=python&live=python) of flat files. |
21 | 21 | - Support for [pandas](https://pandas.pydata.org/docs/), CSV, and JSON. |
22 | 22 |
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23 | 23 | ## Documentation |
24 | | -The best place to begin is with our [Getting started](https://databento.com/docs/getting-started?historical=python&live=python) guide. |
| 24 | +The best place to begin is with our [Getting started](https://databento.com/docs/quickstart?historical=python&live=python) guide. |
25 | 25 |
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26 | 26 | You can find our full client API reference on the [Historical Reference](https://databento.com/docs/api-reference-historical?historical=python&live=python) and |
27 | 27 | [Live Reference](https://databento.com/docs/reference-live?historical=python&live=python) sections of our documentation. See also the |
@@ -80,7 +80,7 @@ array = data.to_ndarray() # to ndarray |
80 | 80 | ``` |
81 | 81 |
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82 | 82 | Note that the API key was also passed as a parameter, which is |
83 | | -[not recommended for production applications](https://databento.com/docs/knowledge-base/new-users/security-managing-api-keys?historical=python&live=python). |
| 83 | +[not recommended for production applications](https://databento.com/docs/portal/api-keys?historical=python&live=python). |
84 | 84 | Instead, you can leave out this parameter to pass your API key via the `DATABENTO_API_KEY` environment variable: |
85 | 85 |
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86 | 86 | ```python |
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