🗺️ Who doesn’t love a good map? And with EOMaps, from Raphael Quast, you have a Python package that makes it easy to visualize, analyze, and compare geographical datasets at your fingertips!
rdata, a package from Carlos Ramos Carreño, is a pure Python implementation that offers a lightweight way to import R datasets/objects stored in the “.rda” and “.rds” formats into Python!
You can wrestle with scientific-formatting yourself, or you can use the sciform package from Justin Gerber!
sciform is used to convert python numbers into strings according to a variety of user-selected scientific formatting options including decimal, binary, fixed-point, scientific and engineering formats, using documented standards wherever possible!
💻 pip install ncompare and get started comparing the structure of two NetCDF datasets!
ncompare, a Python package in the pyOpenSci ecosystem, created by Daniel Kaufman, generates a view of the matching and non-matching groups and variables between two NetCDF datasets.
Happy PyCon sprint day to all who celebrate! Come join pyOpenSci to:
📚 contribute to our guidebook
🚗 test drive a tutorial
🛠️ help with technical CI (and other challenges)
🔍 even get in there and typo-hunt!
We have ways for everyone of all skill levels to contribute! Plus you'll get to hang out with our Executive Director and Founder, @leahawasser (ask her about Juno - trust us!)
We're inviting YOU! to our pyOpenSci sprint, happening Monday morning at PyCon!
All skill levels are welcome - and we mean that! We have something for everyone! Whether it's contributing to our guidebook, test driving a tutorial, or helping us with some of our technical CI and other challenges, there's a way for you to contribute to open source.
As you're planning your time at PyCon US, definitely make time to chat all things community, Python, open source, and open science at the pyOpenSci Open Space!
You'll be able to chat with @leahawasser (and grab some pyOpenSci swag), and connect with the broader pyOpenSci community.
sunpy is not only the package with the most authors (so far!) in the pyOpenSci ecosystem, it’s also a community-developed, free & open-source solar data analysis environment for Python.
sunpy includes an interface for searching & downloading data from multiple data providers, data containers for image and time series data, commonly used solar coordinate frames & associated transformations, & more!
🙌 PyCon US is finally here, and we can't wait to see you! We've compiled a guide to all of the talks from pyOpenSci community members and friends in our latest post.
💜 And be on the lookout for our Executive Director and Founder, @leahawasser We know she's got some brand new stickers, as well as a limited edition run of postcards, that she'd love to share.
📸 Be sure to tag us on socials with your pyOpenSci swag!
It’s Wednesday, which means it’s time to introduce you to another one of our amazing volunteer editors, Alex Batisse!
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
Juno showing off some new pyOpenSci stickers! Be sure to say hi to our Executive Director and Founder, @leahawasser, at @pycon to grab yours! (And chat all things Python packaging, open source, and open science, of course!)
What if you could build a knowledge graph for #biomedical tasks in weeks or days? BioCypher from Sebastian Lobentanzer makes the process of creating a biomedical knowledge graph easier.
An #opensource, #openscience#Python package, BioCypher is part of the #pyOpenSci ecosystem, and is built around the concept of a “threefold modularity”: modularity of data sources, modularity of structure-giving ontology, and modularity of output formats.
And get started streamlining your processes for working with higher-order networks from start to finish! XGI is part of the #pyOpenSci 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
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 #pyOpenSci stickers, and a limited edition run of postcards. Be sure to say hello, and bring all of your pyOpenSci, #opensource, and #openscience questions!
Our #pyOpenSci editor spotlight this week is focused on Tom Russell, one of our incredible volunteer editors. Read more about his experiences in the #openscience and #opensource#geoscience 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
Looking for better data splits for #machinelearning? Look no further than astartes, a #pyOpenSci package from Jackson Burns, Kevin Spiekermann, and himaghna!
astartes is an #openscience, #opensource#Python 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.
🔍 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
💻 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.
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.
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.