Today marks the last day of #EuroSciPy2025 → our sprint sessions! 🏃💻. 📸 Sharing some moments from the conference!.Thank you to all sponsors, speakers, participants & organizers for the energy, ideas, and community you brought!. #Python #OpenScience #Community #EuroSciPy

And it goes like this. #Python #Scientific Computing #CommunityBuilding #OpenSource #EuroSciPy2025 #Anaconda

What do you want to know?.

📣 Our 2nd Keynote: Dawn Wages! 🚀 From lone notebook to scientific odyssey:.🔹 pandas for data alchemy.🔹 matplotlib for storytelling.🔹 scikit-learn for predictive magic. How the Python community is our refuge in facing the perils of modern research. 📅

🧪 Catch Franciszek Job at EuroSciPy!. Presenting a framework to unify molecular data (PubChem, UniChem, COCONUT) with:.⚙️ RDKit.⚡️ Dask.🔁 InChI deduplication. 📅 🎟️ #EuroSciPy #Python #RDKit #Dask #MolecularML #Cheminformatics.

@numpy_team @SciPy_team @matplotlib @pretalx @FastAPI 97/97.A huge thank you to our incredible community, our 100+ submitters, and our 20+ peer reviewers! Your hard work has shaped an amazing #EuroSciPy2025 program. We can't wait to see you in Kraków! For more info:

@numpy_team @SciPy_team @matplotlib @pretalx @FastAPI 96/97.Our Advanced Tutorial Track is where we dive deep. These sessions are designed to be engaging even for seasoned professionals, old-timers, and package maintainers, covering complex topics and advanced tools.

@numpy_team @SciPy_team @matplotlib @pretalx @FastAPI 95/97.This unique, forward-thinking beginner track is just one example of the incredible value you'll get at #EuroSciPy2025. Don't miss out on the chance to level up your skills! Get your ticket today:

@numpy_team @SciPy_team @matplotlib @pretalx @FastAPI 94/97.And #security has to be there from the very start! We're making sure our beginners get a solid foundation in best practices.

@numpy_team @SciPy_team @matplotlib @pretalx @FastAPI 93/97.Yes, we DO believe it's time for beginners to learn about type annotations. It was once considered an advanced topic, especially in #ScientificPython. Well, not anymore!.

@numpy_team @SciPy_team @matplotlib @pretalx 92/97.Day 2 pushes the boundaries of "beginner": Typing Annotations → @FastAPI for #AI development → Security basics for beginners → Collaborating with DataLad. Cool, huh?.

@numpy_team @SciPy_team @matplotlib @pretalx 91/97.So, for that smooth experience, here's the flow:.Day 1: Python & Jupyter → NumPy & DataFrames → Intro to Scikit-learn (with DataFrames!) → Visualization.

@numpy_team @SciPy_team @matplotlib @pretalx 90/97.The beginner track is evolving! It's not enough to talk about NumPy anymore. Many beginners start right with #dataframes, because more & more #ScientificPython libraries support them out of the box.

@numpy_team @SciPy_team @matplotlib @pretalx 89/97.By looking at the tutorials before and after theirs, the beginner track Tutors can build on previous topics and set the stage for what's next, creating a cohesive onboarding experience into #ScientificPython.

@numpy_team @SciPy_team @matplotlib @pretalx 88/97.To ensure a smooth #learning journey, we're asking our beginner track presenters to coordinate with each other this year.

@numpy_team @SciPy_team @matplotlib @pretalx 87/97.Circling back to our program details! Our Beginner Tutorial Track is for absolute beginners, covering the fundamentals: intro to #Python, #NumPy, #Pandas, #ScikitLearn, and #DataVisualization.

@numpy_team @SciPy_team @matplotlib @pretalx 86/97.Final nerdy detail: We asked about #AI usage in submissions (for stats only, hidden from reviewers). While AI is a great tool, reviewers were still able to spot and flag low-quality, mass-submitted proposals that were likely AI-generated.

@numpy_team @SciPy_team @matplotlib @pretalx 85/97.You don't want to miss out on all this fresh, cutting-edge content directly from the creators that you would not be able to see anywhere else yet! Grab your ticket now and be the first to see it: #EuroSciPy2025.

@numpy_team @SciPy_team @matplotlib @pretalx 84/97.Just to clarify, these numbers are for all submissions we received. We'll be sharing the final stats for accepted, withdrawn, & confirmed proposals during the closing ceremony—another great reason to join us in Kraków! 😉 #EuroSciPy #Stats #Kraków #Poland.

@numpy_team @SciPy_team @matplotlib @pretalx 83/97.And you delivered! A whopping 60% of submissions are brand new and have never been presented anywhere before. 24% have been submitted to other upcoming conferences, but for many, #EuroSciPy2025 will be their debut!.

@numpy_team @SciPy_team @matplotlib @pretalx 82/97.On top of that, we also tracked original content. We really wanted to bring fresh ideas to the stage this year, so we asked if a talk had been presented before.