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
pyOpenSci holds beginner-friendly sprints with the goal of making new contributors feel welcome. Learn about our latest sprint at PyCon US 2024, and tips we use to make sprints accessible to more people.| pyOpenSci
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