Exactly 50% of respondents have less than two years of professional coding experience! And 39% have less than two years of experience with Python (even in hobbyist or educational settings).

Data science is now over half of all Python - This year, 51% of all surveyed Python developers are involved in data exploration and processing, with pandas and NumPy being the tools most commonly used for this.

48% of people are currently using Python 3.11. Upgrading to 3.13 will make their code run ~11% faster end to end while using ~10-15% less memory. If they are one of the 27% still on 3.10 or older, their code gets a whopping ~42% speed increase (with no code changes), and memory use can drop by ~20-30%!

If your company realizes you are burning an extra $0.4M-$5M a year because you haven't gotten around to spending the day it takes to upgrade, that'll be a tough conversation.

"Somewhere between one-quarter and one-third of all native code being uploaded to PyPI for new projects uses Rust", indicating that "people are choosing to start new projects using Rust".

Program managers at major tech companies have stated that they almost cannot hire developers who don't embrace agentic AI. The productive delta between those using it and those who avoid it is simply too great (estimated at about 30% greater productivity with AI).

This computer comes with 10 CPU cores. That means until this change manifests in Python, the maximum performance I can get out of a single Python process is 10% of what my machine is actually capable of.

uv, the incredible package and Python management tool jumped incredibly from 0% to 11% the year it was introduced (and that growth has demonstrably continued to surge in 2025).