01cd16654e
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
52 lines
2.1 KiB
Plaintext
52 lines
2.1 KiB
Plaintext
# Using PyAirbyte
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PyAirbyte brings the power of Airbyte to every Python and AI developer.
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## Installation
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```bash
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pip install airbyte
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```
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## Quickstarts
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* **NEW:** [1.0 Launch Demo: AI and PyAirbyte](https://colab.research.google.com/github/airbytehq/quickstarts/blob/main/pyairbyte_notebooks/AI%20ChatBot%20-%201.0%20Launch%20Demo.ipynb)
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* [Basic Demo](https://github.com/airbytehq/quickstarts/blob/main/pyairbyte_notebooks/PyAirbyte_Basic_Features_Demo.ipynb)
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* [CoinAPI](https://github.com/airbytehq/quickstarts/blob/main/pyairbyte_notebooks/PyAirbyte_CoinAPI_Demo.ipynb)
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* [GA4](https://github.com/airbytehq/quickstarts/blob/main/pyairbyte_notebooks/PyAirbyte_GA4_Demo.ipynb)
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* [Shopify](https://github.com/airbytehq/quickstarts/blob/main/pyairbyte_notebooks/PyAirbyte_Shopify_Demo.ipynb)
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* [GitHub](https://github.com/airbytehq/quickstarts/blob/main/pyairbyte_notebooks/PyAirbyte_Github_Incremental_Demo.ipynb)
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* [Postgres (cache)](https://github.com/airbytehq/quickstarts/blob/main/pyairbyte_notebooks/PyAirbyte_Postgres_Custom_Cache_Demo.ipynb)
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* [RAG With Langchain](https://github.com/airbytehq/quickstarts/blob/main/pyairbyte_notebooks/PyAirbyte_Document_Creation_RAG_with_Langchain_Demo.ipynb)
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## Demos
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Please check out this [YouTube video](https://youtu.be/tUTE-csnwCI) on how to get started with PyAirbyte!
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## PyAirbyte API Reference
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Please refer to our [PyAirbyte API Reference](https://airbytehq.github.io/PyAirbyte/index.html) for
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a full list of classes, methods, and usage examples.
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## Usage
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Data can be extracted from sources and loaded into caches:
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<a href="https://colab.research.google.com/github/airbytehq/quickstarts/blob/master/pyairbyte_notebooks/PyAirbyte_Basic_Features_Demo.ipynb" target="_parent"><img src="https://img.shields.io/badge/-Try%20with%20Colab-grey?logo=googlecolab" alt="Try with Colab"/></a>
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```python
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import airbyte as ab
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source = ab.get_source(
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"source-faker",
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config={"count": 5_000},
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install_if_missing=True,
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)
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source.check()
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source.select_all_streams()
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result = source.read()
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for name, records in result.streams.items():
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print(f"Stream {name}: {len(list(records))} records")
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```
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