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
💻 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.
#HelloESR !
Envie de se former sur le 5e site internet le plus consulté au monde, à savoir #Wikipédia ? De découvrir le potentiel de la base de connaissance #Wikidata ? D'y contribuer avec la #ScienceOuverte ?
Je deviens wikimédienne en résidence pendant un an pour vous y accompagner !
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 #python#openscience workshops in the future!!
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.
It's our first time there and we'd love connect.
Would you like to exchange best practices, tips, and/or knowledge over coffee? We are interested in #communication strategies for libraries and everything #OpenScience-related. Let us know if you want to meet up!
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 💜
'#Sharing with minimal #regulation? Evidence from neighborhood book exchange' by Anouk Schippers and Adriaan Soetevent is April's #OpenAccess publication in the spotlight.
Their study shows that peer-to-peer book exchanges, like little free #libraries, experience minimal free riding due to strong #SocialNorms among users, with a return rate of 9 #books for every 10 taken.