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May 24, 2020
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Some last minor tweaks to textual things #284

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4 changes: 2 additions & 2 deletions content/en/learn.md
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Expand Up @@ -3,7 +3,7 @@ title: Learn
sidebar: false
---

The official NumPy documentation lives [here](https://numpy.org/doc/stable).
**The official NumPy documentation lives [here](https://numpy.org/doc/stable).**

Below is a curated collection of external resources. To contribute, see the [end of this page](#add-to-this-list).
***
Expand All @@ -30,7 +30,7 @@ There's a ton of information about NumPy out there. If you are new, we'd strongl
* [From Python to NumPy *by Nicolas P. Rougier*](https://www.labri.fr/perso/nrougier/from-python-to-numpy/)
* [Elegant SciPy](https://www.amazon.com/Elegant-SciPy-Art-Scientific-Python/dp/1491922877) *by Juan Nunez-Iglesias, Stefan van der Walt, and Harriet Dashnow*

You may also want to check out the [Goodreads list](https://www.goodreads.com/shelf/show/python-scipy) on the subject of "Python+SciPy". Most books there are about the "SciPy ecosystem", which has NumPy at its core.
You may also want to check out the [Goodreads list](https://www.goodreads.com/shelf/show/python-scipy) on the subject of "Python+SciPy." Most books there are about the "SciPy ecosystem," which has NumPy at its core.

<i class="far fa-file-video"></i> **Videos**

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2 changes: 1 addition & 1 deletion layouts/partials/data-science.html
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<p></p><p>
For high data volumes, <a href="https://dask.org">Dask</a> and
<a href="https://ray.io/">Ray</a> are designed to scale. Stable production
environments rely on data versioning (<a href="https://dvc.org">DVC</a>),
deployments rely on data versioning (<a href="https://dvc.org">DVC</a>),
experiment tracking (<a href="https://mlflow.org">MLFlow</a>), and
workflow automation (<a href="https://airflow.apache.org">Airflow</a> and
<a href="https://www.prefect.io">Prefect</a>).</p>
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