Highlights from SciPy 2025: Building Community, Code, and Culture - pyOpenSci
Explore pyOpenSci’s highlights from SciPy 2025—from Python packaging workshops and talks to first-time contributions, collaboration, and open science in action.| pyOpenSci
In selecting one workflow to package a Python project, pyOpenSci chooses between a lot of code tools. These choices often come after months of exploration and debate. Find out what motivates us to make the decisions that we do.| pyOpenSci
Building resilience in open science starts with collaboration. Learn how pyOpenSci is partnering with the Carpentries, Prereview, Open Life Sciences, and rOpenSci to reinvision how open communities can work together to share the future of open science in uncertain times.| pyOpenSci
This summer brought incredible momentum to pyOpenSci—from 60+ attendees at our SciPy session to 13 packages actively under review and exciting new leadership transitions. Join our November Python packaging workshop or explore how you can get involved in peer review.| pyOpenSci
Turn your Python code into a professional package that others can easily install, use, and contribute to. Learn the complete packaging workflow with hands-on demos and proven templates.| pyOpenSci
Python packaging can be tricky to navigate. pyOpenSci will lead a pilot workshop on creating your first Python package. The goal of this workshop is to help scientists learn how to package and make code installable and shareable. Read on to learn more!| pyOpenSci
Meet Mandy Moore, our new Communications and Community Lead! Mandy is bringing 15+ years of experience in marketing, content strategy, and community engagement to help make open science more accessible and welcoming. Learn more about her work and story in this post.| pyOpenSci
We held an incredibly informative community session this year at the SciPy meeting in Tacoma Washington. We asked the community what their open source Python pain points were. Learn more about what we learned in this interactive session.| pyOpenSci
Explore pyOpenSci’s highlights from SciPy 2025—from Python packaging workshops and talks to first-time contributions, collaboration, and open science in action.| pyOpenSci
We make it easier for scientists to create, find, maintain, and contribute to reusable code and software.| pyOpenSci
We support the Python tools that scientists need to create open science workflows. GitHub release (latest by date) DOI new Tutorial Series: Create a Python Package: The first round of our community...| pyOpenSci Python Package Guide
Discover how to create clean, accessible, and impactful data science code by focusing on the human side of coding practices. Here, Eric Ma shares insights from his talk at the 2024 pyOpenSci Fall Festival. Learn key open science principles, including readability, cognitive load, and the toolmaker’s mindset, and explore practical strategies to enhance your work| pyOpenSci
Your next step in our packaging tutorial series is to create a Python package that is installable both locally and remotely from a website such as GitHub (or GitLab). The package that you create in...| pyOpenSci Python Package Guide
In the previous lessons, you’ve learned: How to create the most basic version of a Python package. This entailed making your code installable., How to publish your Python package to PyPI, How to ad...| pyOpenSci Python Package Guide
Editor in Chief (EiC) role & responsibilities: The Editor in Chief (EiC) is a rotating position that serves for 3 to 6 months or a time agreed to by all members of the editorial board. If the EiC n...| pyOpenSci Python Package Guide
Image showing the progression of creating a Python package, building it and then publishing to PyPI and conda-forge. You take your code and turn it into distribution files (sdist and wheel) that Py...| pyOpenSci Python Package Guide
Tools for building your package: There are a several different build tools that you can use to create your Python package’s sdist and wheel distributions. Below, we discuss the features, benefits a...| pyOpenSci Python Package Guide
In the previous Python packaging lessons, you’ve learned: What a Python package is, How to make your code installable.. Graphic showing the high level packaging workflow. On the left you see a grap...| pyOpenSci Python Package Guide
Our Python packaging tutorials use the tool Hatch. While there are many great packaging tools out there, we have selected Hatch because: It is an end-to-end tool that supports most of the steps req...| pyOpenSci Python Package Guide
In the previous lessons you learned: What a Python package is, How to make your code installable, How to publish your package to (test) PyPI, How to publish your package to conda-forge. What is a R...| pyOpenSci Python Package Guide
What is an API?: API stands for A pplied P rogramming I nterface. When discussed in the context of a (Python) package, the API refers to the functions, classes, methods, and attributes that a packa...| pyOpenSci Python Package Guide
Join us for pyOpenSci’s inaugural Fall Festival, happening October 28 - November 1, 2024! This multi-day training event brings together scientists and Pythonistas for inspiring talks, hands-on workshops, and office hours to help you grow your open science and open source skills. Whether you’re a new or experienced Pythonista, there’s something for you!| pyOpenSci
A start to finish beginner-friendly tutorial Welcome to the pyOpenSci Python packaging tutorial series. The lessons on the upcoming pages walk you through the core steps needed to create a Python p...| pyOpenSci Python Package Guide
A blog post from the Executive Director of pyOpenSci on Python packaging, technical things and imposter syndrome in data science.| pyOpenSci
Learn about pyOpenSci’s experience at PyCon US 2024, how pyOpenSci is making Python packaging more accessible and beginner friendly and how the Python community is helping us get there.| pyOpenSci
This year I attended by first PyCon US meeting representing pyOpenSci. In this blog I talk about my experience, highlighting the sprints we lead and talks on packaging.| pyOpenSci
David Nicholson gave a lightning talk about his experience going through the pyOpenSci peer review process with his Python package called Crowsetta. Learn more about the people involved in peer review and watch the 5 minute video here.| pyOpenSci
pyOpenSci has published the packaging structure and tool section of it’s guide. This chapter has been reviewed by dozens of core community members to ensure accuracy and is community-driven.| pyOpenSci
