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!
Contrary to the misconception that #OpenScience and #patents are not compatible, they co-exist.
Inventors can openly publish the findings after filing a patent application.
In countries like #Korea with a ‘grace period’ for pre-filing disclosures, inventors can publicly share their results even before submitting a patent application. Art. 30 of Korea’s Patent Act allows a 1-year grace period for various disclosures made before filing a patent application.
🙌 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.
OSSci will be in beautiful Prague this Thursday, May 16. Thanks to the PyData Prague team for putting together a great agenda. 50+ people registered. Please share with your networks.Thanks!
“Starting with Volume 35 (2024), Cognitive Linguistics is transformed into a Diamond Open Access journal thanks to our subscribers participating in the Subscribe to Open (S2O) project. All current content will be published under a Creative Commons License (CC-BY 4.0) at no cost to authors and will be freely available to readers.”
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.
📢 Le jeudi 20 juin 2024, de 9h00 à 12h30, aura lieu en visioconférence l'atelier NOOS “Usages et pratiques des notebooks dans une démarche de recherche-ouverte”.
#Report | 🎉Celebrating another year of #OpenAccess at #Astronomy&Astrophysics Journal！
Under the #S2O model, we've published 4,500+ articles, cited +155,685 times, without APCs. We ensure the integrity & credibility of our research, promoting more equitable publishing. #OpenScience
Here it is people. A PhD student describing details of what they've come to realize is the completely scientifically bankrupt methodologies their high-powered successful, well funded lab PI demands the lab members do. Everything this person says is basically commonplace in todays labs #science#openscience#statistics#bayesian
What an amazing month! Our newsletter is chock full with #opensource and #openscience news, including:
💻 pyOpenSci's first workshop
📦 the rdata package
☀ ZodiPy, an Astropy affiliated package
🎉 ALL the pyOpenSci at #pyConUS happenings
📢 Leah's upcoming workshop and talk at this summer's SciPy Conference
🍎 Inessa Pawson's incredible keynote from PyConDE & PyData Berlin
📃 upcoming #Python events for scientists
💜 ways you can connect with pyOpenSci
Our @pyOpenSci workshop - create your first #python package - last week was a wonderful success. Workshops are most successful when there are people there to help and answer questions. When the right environment is created, no one is afraid to ask questions, and often even workshop participants begin to help each other.
@ucodery@willingc thank you so much for helping make the learning environment more open! #openscience is hard but rewording. Let's navigate it together.
🔍 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