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This week I presented my Python package 'PDBCleanV2' at the Structural Biology Departmental Retreat. It was well received by attendees and, overall, a great experience. I wanted to thank you because pyOpenSci was a great influence in getting my package in shape.
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<pclass="testimonial-showcase__cite">Fatima · Stanford University OSPO</p>
My favorite part of the course has been the step-by-step guidance and the hands-on experience of building a package. I also really liked the videos where the mentor shares the challenges they faced — it made the process feel more real and relatable. Testing classmates' packages was another highlight, as it helped me learn from others and see different approaches.
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<figcaptionclass="testimonial-showcase__cite">Course participant · Ship It cohort</figcaption>
I attended a conference during this course (full day for two days) and was still able to complete the course once the conference ended. I appreciate the structure of the course, and the flexibility was also needed.
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<figcaptionclass="testimonial-showcase__cite">Course participant · Ship It cohort</figcaption>
<imgsrc="/images/people/scipy-sprint-2026.png"alt="A group of contributors sitting at a table at a pyOpenSci sprint working on their laptops and talking to each other.">
<imgsrc="{{ site.baseurl }}/images/people/scipy-sprint-2026.png"alt="A group of contributors sitting at a table at a pyOpenSci sprint working on their laptops and talking to each other.">
Everything in Supporting Partner, plus cohort connection for your learners through our online course community, open webinars, and access to pyOpenSci's global network of scientists and open source maintainers.
Everything in Community Partner, plus a pyOpenSci curated course learning experience with hands-on expert support during the course, gamified course activities, and curriculum advisory. Course will be branded to include your institution's name.
*Note: Topics are confirmed each cohort cycle as new content is released.*
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### Complex, technical concepts made easy
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Researchers shouldn't have to struggle with sharing code and software on their own. Connect your students and researchers with a thriving, inclusive, and vibrant community of beginner-to-expert Pythonistas who support scientific open source. Open doors for your researchers to engage with other Python developers, troubleshoot challenges together, and gain ongoing support as they develop their scientific open source skills.
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