Peter Wang talks about his thoughts on the future of open source scientific computing in his recent interview on Give Me 5! Check out Episode 5 now (link in comments)

Watch GM5 S3E5: youtu.be/y3B6mITlvuc

Give Me 5: Season 3, Episode 5 is now live!

Peter Wang, Chief AI & Innovation Officer, Co-Founder at Anaconda, Inc., has a warning for open source communities: with bots and AI flooding the internet, the era of serendipitous online collaboration is closing, and we need to build humaIn this episode, Peter shares what connects his work across science, software, and AI, why he wants people to ask AI to help them reach the answer, and the advice he would give anyone starting out.

Watch now (link in the comments)

Watch GM5 S3E5: youtu.be/y3B6mITlvuc

Coming tomorrow: We're dropping Episode 5 of Give Me 5 Season 3, where MK sits down with Peter Wang, Chief AI & Innovation Officer and Co-Founder at Anaconda, http://Inc., to talk about the future of open source scientific computing and how he became a key member of the ecosribe to be notified when the episode drops.

ICYMI: We released Season 3, Episode 4 of Give Me 5 last week, featuring Katrina Riehl! Her advice for anyone starting out in the open source scientific computing ecosystem? Start small.

Check out the full episode on the PyData YouTube (link in the comments!)

Watch GM5 S3E4: youtu.be/P7rOy0sfidU

Give Me 5 Season 3, Episode 4 is now live! Featuring Katrina Riehl, learn about her journey into open source, and some of her takes on community building and the future of the ecosystem.

Watch now on the PyData YouTube (link in comments)

Watch GM5 S3E4: youtu.be/P7rOy0sfidU

Coming tomorrow: Episode 4 of Give Me 5 Season 3, featuring a conversation between MK and Katrina Riehl!

Subscribe to the PyData YouTube channel to be notified when the episode drops.

Katrina Riehl embodies the idea of being an open-source contributor, maintainer, and community rs in NumFOCUS governance - Treasurer, then Board President, now Advisory Council member - giving her a rare inside view of what it takes to sustain open-source infrastructure. Her day job? She's currently Senior Manager for Python Numerical Libraries Engineering (cuPyNumeric) at NVIDIA, having previously led CUDA Education there, and has also had stints leading data teams at Snowflake, Cloudflare, Anaconda, and Expedia.

Project Update: Heat 1.9.0 helps you scale numerical code across distributed memory when your data outgrows a single workstation or GPU. If you know NumPy and scikit-learn, you already know how to use it.

Ralf Gommers has a great history of community building and supporting open source scientific computing projects! Learn about his journey into open source and more in the latest episode of Give Me 5, available now on YouTube (linked in the comments).

Watch GM5 S3E3 now: youtu.be/uzo-O1CIbvs

Project Update: Optuna v5.0 introduces a new default sampler (TPE for both single- and multi-objective optimization), a native API for constrained optimization, and PED-ANOVA as the default for parameter importance.

Live now! Check out Give Me 5 Season 3, Episode 2, where MK sits down with Ralf Gommers (@ralfgommers) about his journey into open source and his thoughts on the future of the ecosystem. Watch now (link in comments)

Ralf Gommers is a technical leader and long-time open-source bout both the technology and people that drive innovation and keep it thriving over the long term. He's been an active maintainer of NumPy and SciPy for 15+ years; he created the Python Array API Standard, authored pypackaging-native, and currently maintains meson-python and contributes to PyTorch, Python packaging standards, and beyond.

@ralfgommers Watch GM5 S3E3: youtu.be/uzo-O1CIbvs

Another episode of Give Me 5 is coming tomorrow! Join MK as he sits down with Ralf Gommers to talk about his journey into open source, and his thoughts on the future of the ecosystem. We'll see you tomorrow when Episode 3 drops. 👀

Ralf Gommers is a technical leader and eveloper, passionate about both the technology and people that drive innovation and keep it thriving over the long term. He's been an active maintainer of NumPy and SciPy for 15+ years, he created the Python Array API Standard, authored pypackaging-native, and currently maintains meson-python and contribute to PyTorch, Python packaging standards, and beyond.

Project Update: Julia 1.13.1, the first patch release in the 1.13 series, is now available. It contains bug fixes, documentation improvements, and performance improvements, with no new features or breaking changes.

Project Updates: GeoPandas 1.2.0 is out, headlined by a re-implemented static plotting system that remains mostly backward-compatible. Read the full release notes: hubs.la/Q04zk4hK0

Project Update: Polars now makes it simple to see what a query is doing. Add one line, pl.Config.enable_monitoring(), to profile any query, watch its progress, and find where to optimize.