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# Template repository to implement a Datashare Python worker | ||
<style> | ||
.md-content .md-typeset h1 | ||
</style> | ||
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[//]: # (TODO: write a full tutorial here) | ||
[//]: # (configuration, dependency injection, build etc etc) | ||
<p align="center"> | ||
<a href="https://datashare.icij.org/"> | ||
<img align="center" src="docs/assets/datashare-logo.svg" alt="Datashare" style="max-width: 60%"> | ||
</a> | ||
</p> | ||
<p align="center"> | ||
<em>Better analyze information, in all its forms</em> | ||
</p> | ||
<br/> | ||
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--- | ||
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**Documentation**: <a href="https://icij.github.io/datashare-python" target="_blank">https://icij.github.io/datashare-python</a> | ||
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--- | ||
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# Implement **your own Datashare tasks**, written in Python | ||
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Most AI, Machine Learning, Data Engineering happens in Python. | ||
[Datashare](https://icij.gitbook.io/datashare) now lets you extend its backend with your own tasks implemented in Python. | ||
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Turning your own ML pipelines into Datashare tasks is **very simple**, learn about it inside [documentation](https://icij.github.io/datashare-python). |