@pyOpenSci@fosstodon.org
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pyOpenSci

@pyOpenSci@fosstodon.org

We build diverse and welcoming communities around #Python #opensource tools that drive #openscience.

Be sure to connect with us around the web: https://linktr.ee/pyopensci

#python #pythonpackaging #opensource #openscience #community

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pyOpenSci, to random
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pip install xgi

And get started streamlining your processes for working with higher-order networks from start to finish! XGI is part of the ecosystem, and excels at many things, including:

🔍 Analyzing higher-order networks with measures and algorithms
🧰 Manipulating node and edge statistics in a flexible and customizable way
🎨 Drawing higher-order networks in a variety of visually striking ways

📄 XGI docs: https://xgi.readthedocs.io/en/stable/

pyOpenSci, to opensource
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With PyCon US 2024 kicking off next week, we wanted to share this post from our Executive Director and Founder, @leahawasser, on her experience at PyCon 2023!

Leah will be at PyCon US this year, and we have it on good authority that she's got some brand new stickers, and a limited edition run of postcards. Be sure to say hello, and bring all of your pyOpenSci, , and questions!

https://www.linkedin.com/pulse/my-first-time-attending-pycon-tale-sprints-python-packaging-jipqc/

pyOpenSci, to opensource
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Our editor spotlight this week is focused on Tom Russell, one of our incredible volunteer editors. Read more about his experiences in the and space!

pyOpenSci Editors:

🔍 find reviewers from diverse backgrounds
👷 oversee the entire review process for a hashtag#Python package
💜 support the submitting authors and reviewers
✅ determine whether a package should be accepted into the pyOpenSci ecosystem

pyOpenSci, to machinelearning
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Looking for better data splits for ? Look no further than astartes, a package from Jackson Burns, Kevin Spiekermann, and himaghna!

astartes is an , package that implements many similarity- and distance-based algorithms to partition data into more challenging splits. Separate from astartes, you can use these splits to better assess out-of-sample performance with any ML model of choice.

📄 Docs: https://jacksonburns.github.io/astartes/

pyOpenSci, to opensource
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If you haven't already seen it, we strongly recommend checking out Inessa Pawson's @pyconde keynote on "The Art and Science of Tending Open Source Orchards".

We love this talk because Inessa dives into the resilient contributor communities behind every large project, and shares her insights on the art and science of fostering resilient open source communities.

https://www.youtube.com/watch?v=5Bjo6pWj-88&t=711s

pyOpenSci, to random
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pip install python-graphblas[default]

  • or -
    conda install -c conda-forge python-graphblas

to get started with python-graphblas, another fantastic package in our ecosystem!

With a robust getting started guide, user guide, contributor guide, and API reference, package developers Erik Welch, Jim Kitchen, & Sultan Orazbayev make it easy to get working with a Pythonic interface to the SuiteSparse:GraphBLAS library for performing graph analytics in the language of linear algebra.

pyOpenSci, to opensource
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What an amazing month! Our newsletter is chock full with and news, including:

💻 pyOpenSci's first workshop
📦 the rdata package
☀ ZodiPy, an Astropy affiliated package
🎉 ALL the pyOpenSci at happenings
📢 Leah's upcoming workshop and talk at this summer's SciPy Conference
🍎 Inessa Pawson's incredible keynote from PyConDE & PyData Berlin
📃 upcoming events for scientists
💜 ways you can connect with pyOpenSci

https://www.linkedin.com/pulse/pyopensci-newsletter-may-2024-pyopensci-5k4kc/

pyOpenSci, to opensource
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This week’s editor spotlight is on @nicholdav, one of our amazing volunteer editors. Read more about his experiences in the and space!

Editors:

🔍 find reviewers from diverse backgrounds
👷 oversee the entire review process for a hashtag#Python package
💜 support the submitting authors and reviewers
✅ determine whether a package should be accepted into the pyOpenSci ecosystem

pyOpenSci, to python
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💻 pip install cardsort to get started quickly analyzing data from open card sorting exercises using hierarchical cluster analysis, and gain a better understanding to how people organize information!

Developed by Katharina Kloppenborg, the cardsort #Python package was accepted into the #pyOpenSci ecosystem in 2023.

📄 Docs: https://cardsort.readthedocs.io/en/latest/

#opensource #openscience #ux

leahawasser, to python
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Our first @pyOpenSci workshop "Create Your First Python Package" was awesome!! we had people from 8 countries attend and even managed to weather a small platform technical challenge! tech is hard 😆

i'm excited to hold more beginner-friendly accessible workshops in the future!!

pyOpenSci,
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@kamapu @leahawasser that's wonderful to hear! And we enjoyed having you in the workshop!

pyOpenSci, to python
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🍝 pip install taxpasta

Or conda install -c bioconda taxpasta in order to access this delicious #Python package that makes it easy to standardise taxonomic profiles created by a range of bioinformatics tools.

Get started in the CLI with:

💻 taxpasta -h

📄 Docs: https://taxpasta.readthedocs.io/en/latest/

Developed by Moritz E. Beber, Sofia Stamouli, and James A. Fellows Yates, taxpasta was accepted into the #pyOpenSci ecosystem in 2023, and is another phenomenal example of #opensource and #openscience tooling.

pyOpenSci, to python
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This week's #pyOpenSci LinkedIn newsletter is a guest post from Carlos Ramos Carreño, PhD, where he details his rdata package. rdata allows you to read #rstats datasets from #Python, and the package recently joined the pyOpenSci ecosystem!

And if you're interested in writing a blog post for pyOpenSci, reach out! We're always interested in posts focused on #opensource and #openscience, and we'd love to hear from you 💜

https://www.linkedin.com/pulse/rdata-read-r-datasets-from-python-pyopensci-z8obf/?published=t

pyOpenSci, to python
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Setting up the space for our "Build Your First Package!" workshop!

We'll be sharing updates throughout the workshop, and can't wait to meet so many of you 💜

pyOpenSci, to opensource
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Say hello to Titus Brown from UC Davis and sourmash.bio, and one of pyOpenSci’s incredible volunteer editors! We’re excited for you to learn more about Titus and his journey maintaining an #opensource project.

#pyOpenSci Editors:

🔍 find reviewers from diverse backgrounds
👷 oversee the entire review process for a hashtag#Python package
💜 support the submitting authors and reviewers
✅ determine whether a package should be accepted into the pyOpenSci ecosystem

#python #openscience

pyOpenSci, to python
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Happening tomorrow, and only five spots left!

https://www.eventbrite.com/e/build-your-first-python-package-tickets-879586546037

(🐻 Bears and 🌿 beets not provided 😉)

pyOpenSci, to python
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It's true! Come find out for yourself at our upcoming "Build Your First Package!" workshop, happening this Thursday.

We're filling up fast, but there are still a few seats left: https://www.eventbrite.com/e/build-your-first-python-package-tickets-879586546037

pyOpenSci, to opensource
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🦇 I’m bibat (a package, from Teddy Groves!)

📄 Docs: https://bibat.readthedocs.io/en/latest/

pyOpenSci, to python
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We know #Python packaging can be a bit of a spicy subject, but we promise it doesn't have to be!

If you're a scientist who codes in Python, but is a bit shy about creating a package, come join our "Build Your First Python Package!" workshop, happening this Thursday (online!).

We promise it will be friendly, supportive, and hey, even a little bit fun.

https://www.eventbrite.com/e/build-your-first-python-package-tickets-879586546037?aff=oddtdtcreator

#opensource #openscience #pyopensci #workshop

pyOpenSci, to python
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Got questions about our upcoming "Build Your First Package!" workshop? Drop 'em below - our Community Manager, Jesse, would love to answer them!

pyOpenSci, to random
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⌛ Time is running out to register for our "Build Your First Python Package" workshop! Register here: https://www.eventbrite.com/e/build-your-first-python-package-tickets-879586546037?aff=oddtdtcreator

pyOpenSci, to python
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Our upcoming “Build Your First Package!” workshop has a section on how like can be used to support tasks such as documenting and formatting your code to improve usability and maintainability. We’ll also considering the ethical and logistical challenges, pitfalls and concerns associated with using based tools in software development.

There are still a few spaces left! Learn more and register today: https://www.eventbrite.com/e/from-python-code-to-module-tickets-879586546037?aff=oddtdtcreator

pyOpenSci, to python
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xclim, an operational #Python library for climate services developed by Trevor James Smith, Travis Logan, and Pascal Bourgault, provides numerous climate-related indicator tools with an extensible framework.

xclim was accepted into the #pyOpenSci ecosystem in 2023, with the objective to make it as simple as possible for users to perform typical #climate services data treatment workflows.

📄 Docs: https://xclim.readthedocs.io/en/stable/

#opensource #openscience

pyOpenSci, to opensource
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Say hello to @ocefpaf from IOOS, and one of pyOpenSci’s incredible volunteer editors! We’re excited for you to learn more about Filipe, and to celebrate all of his contributions.

#pyOpenSci Editors:

🔍 find reviewers from diverse backgrounds
👷 oversee the entire review process for a hashtag#Python package
💜 support the submitting authors and reviewers
✅ determine whether a package should be accepted into the pyOpenSci ecosystem

#opensource #openscience #community #leadership

pyOpenSci, to ukteachers
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One thing you might not know about pyOpenSci is that its staff includes two incredible educators: @leahawasser and Jesse Mostipak.

Our latest LinkedIn newsletter dives into the pyOpenSci approach to , and gives insight and background to two of the training modalities we're implementing!

And we'd love to see you at our "From Python Code to Module" training happening (online!) Thursday, April 25th!

https://www.linkedin.com/pulse/pyopensci-launches-open-accessible-online-educational-trainings-srwsc/

pyOpenSci, to python
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🌊🐠🪸 We all know ocean health is important, and that’s why we’re thrilled to share the afscgap #Python package with you! Accepted into the #pyOpenSci ecosystem in 2023, and created by Sam Pottinger and Giulia Zarpellon, AFSC GAP makes it easier to work with data from the NOAA Alaska Fisheries Science Center Groundfish Assessment Program.

📄 Docs: https://pyafscgap.org/

#opensource #openscience

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