🏆 Thank you to our Gold Sponsor Heidelberger Druckmaschinen AG!
Stop by their booth at #PyConDE & #PyData 2025 for live demos and custom Python wallpapers—printed on real HEIDELBERG machines. 🖨️🐍
ipywidgets are a great tool with huge positive impact. But at the moment, the project is like a moving ship without a captain. It's public infrastructure that requires maintenance, and it needs financial support to be sustainable. A thread.
ALT Two photo panels of the same three Python core developers. The first photo is black and white and they have serious faces. The caption says "Python with the GIL". The second photo is in color and they are smiling. The caption says "Python with no GIL".
I think we can call it shut on 'Open' AI: the 98 page paper introducing GPT-4 proudly declares that they're disclosing *nothing* about the contents of their training set.
ALT This report focuses on the capabilities, limitations, and safety properties of GPT-4. GPT-4 is a
Transformer-style model [33] pre-trained to predict the next token in a document, using both publicly
available data (such as internet data) and data licensed from third-party providers. The model was
then fine-tuned using Reinforcement Learning from Human Feedback (RLHF) [34]. Given both
the competitive landscape and the safety implications of large-scale models like GPT-4, this report
contains no further details about the architecture (including model size), hardware, training compute,
dataset construction, training method, or similar.
We are committed to independent auditing of our technologies, and shared some initial steps and
ideas in this area in the system card accompanying this release.2 We plan to make further technical
details available to additional third parties who can advise us on how to weigh the competitive and
safety considerations above against the scientific value of fur
Python educators and users: I have been working on improving SyntaxError messages in CPython lately. What error (only *SyntaxErrors* for now 😅) messages you or your students have struggle with? Which ones you think we should improve? 🤔 (Pls RT to help reaching more people 🙏).
We find no evidence that the formation of "transcriptional condensates" amplifies gene expression or increases transcription activation tinyurl.com/y56tof9c
Video of my 14-minute keynote from the #RaySummit about the need to improve our single-node computational foundations in addition to making it easier to do distributed computing in Python
"Scalable Python We Can Afford"
youtube.com/watch?v=TflnJKLR…
Today is release day! We're announcing a new initiative to tackle the fragmentation in Python array/tensor and dataframe libraries: data-apis.org/blog/announcin…. Major challenge, with hopefully major benefits for the whole ecosystem.