PSF Lands $1.5 million
Briefly

PSF Lands $1.5 million
"Lacy Henschel Extend Django <code>manage.py</code> commands for your own project, for things like data operations API integrations complex data transformations development and debugging Extending is built into Django, but it looks easier, less code, and more fun with either <code>django-click</code> or <code>django-typer</code>, two projects supported through Django Commons"
"Anthropic is partnering with the Python Software Foundation in a landmark funding commitment to support both security initiatives and the PSF's core work. The funds will enable new automated tools for proactively reviewing all packages uploaded to PyPI, moving beyond the current reactive-only review process. The PSF plans to build a new dataset of known malware for capability analysis The investment will sustain programs like the Developer in Residence initiative, community grants, and infrastructure like PyPI."
"Andrew Nesbitt It's not just be cause "it's written in Rust". Recent-ish standards, PEPs 518 (2016), 517 (2017), 621 (2020), and 658 (2022) made many uv design decisions possible And uv drops many backwards compatible decisions kept by pip. Dropping functionality speeds things up. "Speed comes from elimination. Every code path you don't have is a code path you don't wait for." Some of what uv does could be implemented in pip. Some cannot."
django-click and django-typer provide lower-code, more enjoyable ways to extend Django manage.py commands for tasks such as data operations, API integrations, complex data transformations, and debugging. Both projects are supported through Django Commons and streamline functionality that is otherwise built into Django. The Python Software Foundation secured a $1.5 million sponsorship from Anthropic to fund security initiatives, create automated package-review tools for PyPI, build a malware dataset for analysis, and sustain programs including Developer in Residence, community grants, and PyPI infrastructure. The uv project achieves significant speed gains by removing backwards-compatible legacy paths and leveraging modern packaging standards, emphasizing elimination to reduce unnecessary code paths and wait times.
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