Looking to contribute to open source, but wasn’t sure where to start? Want to level up your skills in debugging, programming, collaboration and more? Curious about how to fix a bug or add a feature you’re missing in your favorite software project? Come to our special newcomer sprint to learn how and try it for yourself! Newcomers to Python or open source are welcome and encouraged, as well as attendees with open source experience to help guide them!

PhD students, postdocs and independent researchers often struggle when trying to scale their code and data beyond their local machine, to a HPC cluster or the cloud. This is even more difficult if they don’t happen to have access to IT staff and resources to set up the necessary infrastructure, as is the case in many developing countries. We introduce a new open source, extensible remote development architecture, supported in version 6.1 of the Spyder scientific environment and IDE, that allows users to manage packages, browse files and run code remotely on a completely austere host from the comfort of their local machine.

PhD students, postdocs and independent researchers often struggle when trying to execute code developed locally in the cloud or HPC clusters for better performance. This is even more difficult if they can't count on IT staff to set up the necessary infrastructure for them on the remote machine, which is common in third-world countries. Spyder 6.1 will come with a whole set of improvements to address that limitation, from setting up a server automatically to easily run code remotely on behalf of users, to manage remote Conda environments and the remote file system from the comfort of a local Spyder installation.