Julia at PyCon Greece 2025 - Opportunity to Showcase Our Language
We’re excited to share that 2025 will mark the inaugural PyCon Greece conference. The organizing team has done exceptional work establishing this event, including creating a financial aid program to ensure broader participation.
After reaching out to the organizers, we’re pleased to report they’ve enthusiastically welcomed Julia’s presence at the conference by offering to:
Allocate a dedicated 1-hour workshop slot where we can properly introduce Julia and highlight its capabilities to Python users
Provide a community table throughout the venue for networking and demonstrations
The organizers expressed genuine interest in potential joint events in the future, creating a foundation for ongoing collaboration between our communities. We’ll share a formal announcement once all details are finalized.
Request for Input
As we prepare for this opportunity, we would greatly appreciate your insights on:
Which aspects of Julia would be most compelling to highlight for an audience of Python users?
What practical examples or comparisons would effectively demonstrate Julia’s features?
Ideas for interactive demonstrations that could work well in a 1-hour workshop format
Suggestions for materials to distribute at our community table
Further resources we could share with the audience
If you’ve participated in similar cross-language events (such as PyData 2024 or other Python conferences), we’d be particularly interested in hearing about your experiences and lessons learned.
Avoid the most common mistake to try to sell Julia for its speed. Python users don’t care about that. Instead, focus on state-of-the-art package ecosystems built in Julia and they might be interested in giving it a try. This gives concrete evidence of top-quality work enabled by the language.
Here is a fact: the amount of resources directed to Python and its community size are such that there will always be someone willing to pay for the development of low-level libraries in C++/Rust to be wrapped in Python.
I second that, and I would also say it is worth highlighting that the Julia-Python communication ecosystem is really good. Show that if the barrier of learning a new language is too high, juliacall is really simple to use. (or, it appears so, I am not a python user!)
How exciting and congratulations! If there are any social posts about this on BlueSky, happy to reshare, etc.
Having presented once upon a time at PyData Global (Presentation: A Visual Odyssey: Animations and Visualizations Made with Julia | PyData Global 2021) the biggest point of feedback I heard was also to not worry so much with making sure everything is all about interop with Python. This was a bit surprising, but I heard that some folks just simply wanted to hear specifically about Julia and why using tools in Julia was so cool.
Just another data point but wanted to share what I had received as feedback!
I wonder if the Julia community could come up with an easy example that shows the advantages of Julia over Python similar to this Rust and C++ example.
