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:maxdepth: 2 | ||
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what-is | ||
install | ||
quick-start | ||
spec-api-python | ||
basic-concepts |
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Installation | ||
------------ | ||
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Using ``pip`` | ||
************* | ||
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.. code-block:: console | ||
pip install ploomber | ||
Using ``conda`` | ||
*************** | ||
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.. code-block:: console | ||
conda install ploomber -c conda-forge | ||
Get an example | ||
-------------- | ||
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.. code-block:: console | ||
# ML pipeline example | ||
ploomber examples -n templates/ml-basic -o ml-basic | ||
cd ml-basic | ||
.. code-block:: console | ||
# install dependencies | ||
pip install -r requirements.txt | ||
What we're doing in this section is getting a preconfigured workflow. You can | ||
review the code in your ``local``. | ||
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Run ploomber | ||
------------ | ||
.. code-block:: console | ||
# run pipeline (output will be available in the output directory) | ||
ploomber build | ||
We just ran the ploomber pipeline, you can change parts of the code and see how it affects *execution time*. | ||
You should go to the ``outputs`` folder that was created and open the HTML report to see the execution results. | ||
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What's next? | ||
************ | ||
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Depends what you want to achieve: | ||
* **Bring your own code!** Check out the tutorial to migrate your code to Ploomber :doc:`../user-guide/refactoring`. <br> | ||
* You can go deeper and build your first python pipeline guide: :doc:`../get-started/spec-api-python`. <br> | ||
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You can run **another example** as well |
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