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batalex.bsky.social
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pyopensci.org
Volunteers are the heartbeat of pyOpenSci, and to help share and celebrate their contributions, we’re starting with a weekly Editor Spotlight!

👋 This week we want you to meet Lauren Yee, one of our #spatial editors.
pyOpenSci Editor Spotlight pyOpenSci editors are volunteers who fulfill a critical role within pyOpenSci. Editors lead the open peer review process for three to four Python packages a year, and also weigh in on group editorial decisions. We’re excited for you to get to know them! Lauren Yee Sparkgeo pyOpenSci spatial editor How do you currently use Python? I currently use Python day to day as a Data Scientist but I also love building things with R :) My work is primarily focused on computer vision, remote sensing, and a ton of other interdisciplinary areas, the main intersection of all of them is using different types of data, and models to inform our scientific understanding. What inspired you to get involved with pyOpenSci? I wanted to give back to the open-source community I have benefited so much from and to continually learn from all the amazing folks here ! How can the community connect with you? github.com/yeelauren linkedin.com/in/lauren-yee twitter.com/EcoLaurenY
March 13, 2024 at 6:17 PM
Reposted by batalex.bsky.social
pyopensci.org
We’re excited to share that pyOpenSci has received two years of funding from the Chan Zuckerberg Initiative. Read more about what those funds will enable in our latest blog post: www.pyopensci.org/blog/czi-fun...
pyOpenSci supports scientists developing open source software through three programs: 1) peer review of scientific software, 2) community partnerships and 3) packaging resources and recommendations. These three programs are supported by a diverse and inclusive community that cares about the open source software that is needed for open science.
January 4, 2024 at 7:27 PM
Reposted by batalex.bsky.social
leahawasser.bsky.social
we are publishing our @pyOpenSci tutorial series on how to create a #python package!! check out our very first beginner-friendly lesson here:
www.pyopensci.org/python-packa...

Feedback is welcome !!
#openscience #opensource
Image showing the elements of the pyopensci tutorial series. the elements include what is a python package, make code installable, publish to pypi, add a readme and license file, add metadata for pypi and finally publish to conda-forge. next to the list if a circle with the text python packaging - a start to finish beginner-friendly tutorial.
January 3, 2024 at 5:44 PM