pyOpenSci runs free and paid training events that teach skills that scientists need to make their science more open and collaborative.
A trusted 10-day hands-on asynchronous cohort-based course developed by pyOpenSci for Stanford University and the CURIOSS network.
Learn MoreTurn 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.
Learn MorePython 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!
Learn MoreDiscover how peer review improves research software quality and reproducibility. Hosted for the community within Stanford’s Open Source Program Office, this deep dive introduces pyOpenSci’s review process and ways for researchers to get involved and grow their open source and leadership skills through participating in software peer review.
Learn MoreLearn how to create your first Python package using the pyOpenSci template.
Learn MoreJoin us for an interactive discussion on pain points that you are experiencing with developing and maintaining reusable software and code.
Learn MoreJoin pyOpenSci for a special Open Source Voices session! Learn about Pavithra's open source journey and what helped her grow into a contributor and maintainer in the open source world.
Learn MoreJoin 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!
Learn MorePython packaging can be tricky to navigate. pyOpenSci will lead a workshop on creating your first Python package at SciPy 2024. The goal of this workshop is to help scientists learn how to package and make code installable and shareable. Read on to learn more!
Learn MorePython 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!
Learn More