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_posts/2024-08-02-community-news-august-2024.md

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@@ -24,8 +24,15 @@ As the pyOpenSci community has continued to grow, we wanted to dedicate at least
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Education is one of the [three petals of pyOpenSci](https://www.pyopensci.org/blog/pyos-education-announcement.html), and to that end we strive to create resources that help learners navigate the Python packaging ecosystem with ease. This means that when we find our community members and scientists encountering consistent issues with trying to make their workflows more open and reproducible, or trying to build a Python package, we look for ways to lower (or ideally remove!) the barrier for learners. And this was exactly the scenario we were faced with in our beginner-friendly packaging tutorials. We decided that Hatch is a great user-friendly tool that scientists can use to package and share their code. However, in developing and teaching our [Get to know Hatch tutorial](https://www.pyopensci.org/python-package-guide/tutorials/get-to-know-hatch.html), we found scientists struggling to install a tool called [`pipx`](https://github.com/pypa/pipx) that can be used to install Hatch globally, rather than in a Python environment. This was causing a host of problems (in large part because `pipx` can be tricky to install on Windows machines!)
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<figure>
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<img src="{{ site.baseurl }}/images/pyopensci-pillars-flower.png" alt="a circle and three petals representing the pillars of pyOpenSci. The circle at the center represents a diverse, inclusive community, and radiating out from it are the three petals–how pyOpenSci accomplishes its community goals. Those are: open peer review, community partnerships, and training and open educational resources." style="width: 70%;" />
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<figcaption><i class="fa-solid fa-heart-pulse"></i>The three petals of pyOpenSci<i class="fa-solid fa-heart-pulse"></i>.</figcaption>
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</figure>
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We know that it can be challenging to wrap your head around packaging, but what it boils down to is that packaging is really just a process of making your code installable so that it can be reused in different places. And while we decided to use Hatch because it makes packaging life easier, it turns out that Hatch has its own nuanced pain points that we’re still filing down! And we want to share this, because we firmly believe that even someone who is brand new to packaging can get value out of our materials.
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> ...packaging is really just a process of making your code installable so that it can be reused in different places.
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If you’d like to dig into the details of our Hatch installation adventures, we recommend reading through the discussions in the associated issue and PR:
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* [Fix: update hatch install instructions to use the hatch installers rather than pipx in our tutorial #301](https://github.com/pyOpenSci/python-package-guide/issues/301)
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Following Felipe’s initial efforts, several of our SciPy sprint attendees continued to work on translation of the pyOpenSci Python Packaging Guide, and you can see their progress in the [guide repository on GitHub](https://github.com/pyOpenSci/python-package-guide/issues?q=is%3Aopen+is%3Aissue+label%3Ascipy-24). This has resulted in 13 PRs to our packaging guide. Our next steps are to create an editorial team composed of members who are fluent in Spanish/native speakers. This team will be responsible for reviewing and merging these contributions. Stay tuned for updates on this incredible community-driven project!
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> Following Felipe’s initial efforts, several of our SciPy sprint attendees continued to work on translation of the pyOpenSci Python Packaging Guide...resulting in 13 PRs to our packaging guide.
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If you have questions about how to get involved with pyOpenSci, please reach out to [[email protected]]([email protected]) so that we can connect you with the right people!
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## <i class="fa-solid fa-rainbow"></i> All the credit for our contributors
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### Props to all of our PyCon contributors, including:
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Jesse Bobish, [Patrick Byers](https://github.com/pb-413), [Sarah Kaiser](http://github.com/crazy4pi314), [Ryan Keith](https://github.com/ryanskeith), [Jon Kiparsky](https://github.com/jonkiparsky), [Filipe Laíns](https://github.com/FFY00), [Cheng Lee](https://github.com/chenghlee), [Felipe Moreno](https://github.com/flpm), [Matthew Ngoy](https://github.com/Vaunty), [Jeremy Paige](https://github.com/ucodery), [Ken Seehart](https://github.com/kenseehart), [Steven Silvester](https://github.com/blink1073), [Megan Sosey](https://github.com/sosey), [Zack Weinberg](https://github.com/zackw), [Brianne Wilhelmi](https://github.com/BSuperbad), [Carol Willing](https://github.com/willingc), [Sneha Yadav](https://github.com/sn3hay), and [Bradon Zhang](https://github.com/BradonZhang).
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> In total we’ve had over 30 contributors submit 65 issues to six different pyOpenSci repos between the two events, which is incredible.
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### Shout out to all of our SciPy contributors, including:
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[Naty Clementi](https://github.com/ncclementi), [Geoff Cureton](https://github.com/gpcureton), [John Drake](https://github.com/John-Drake), [Han](https://github.com/ayhanxian), [Elise Hinman](https://github.com/ehinman), [hpodzorski-USGS](https://github.com/hpodzorski-USGS), [Sarah Kaiser](https://github.com/crazy4pi314), [kaiyamag](https://github.com/kaiyamag), [Felipe Moreno](https://github.com/flpm), [Roberto Pastor Muela](https://github.com/RobPasMue), [Olek](https://github.com/yardasol), [Santiago Soler](https://github.com/santisoler), and [Revathy Venugopal](https://github.com/Revathyvenugopal162).
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