Survey Finds More Python Developers Like PostgreSQL, AI Coding Agents - and Rust for Packages
More than 30,000 Python developers from around the world answered questions for the Python Software Foundation's annual survey — and PSF Fellow Michael Kennedy tells the Python community what they've learned in a new blog post. Some highlights:
Most still use older Python versions despite benefits of newer releases... Many of us (15%) are running on the very latest released version of Python, but more likely than not, we're using a version a year old or older (83%). [Although less than 1% are using "Python 3.5 or lower".] The survey also indicates that many of us are using Docker and containers to execute our code, which makes this 83% or higher number even more surprising... You simply choose a newer runtime, and your code runs faster. CPython has been extremely good at backward compatibility. There's rarely significant effort involved in upgrading... [He calculates some cloud users are paying up to $420,000 and $5.6M more in compute costs.] 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...
Rust is how we speed up Python now... The Python Language Summit of 2025 revealed that "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". Looking into the survey results, we see that Rust usage grew from 27% to 33% for binary extensions to Python packages... [The blog post later advises Python developers to learn to read basic Rust, "not to replace Python, but to complement it," since Rust "is becoming increasingly important in the most significant portions of the Python ecosystem."]
PostgreSQL is the king of Python databases, and only it's growing, going from 43% to 49%. That's +14% year over year, which is remarkable for a 28-year-old open-source project... [E]very single database in the top six grew in usage year over year. This is likely another indicator that web development itself is growing again, as discussed above...
[N]early half of the respondents (49%) plan to try AI coding agents in the coming year. 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).
It's their eighth annual survey (conducted in collaboration with JetBrains last October and November). But even though Python is 34 years old, it's still evolving. "In just the past few months, we have seen two new high-performance typing tools released," notes the blog post. (The ty and Pyrefly typecheckers — both written in Rust.) And Python 3.14 will be the first version of Python to completely support free-threaded Python...
Just last week, the steering council and core developers officially accepted this as a permanent part of the language and runtime... Developers and data scientists will have to think more carefully about threaded code with locks, race conditions, and the performance benefits that come with it. Package maintainers, especially those with native code extensions, may have to rewrite some of their code to support free-threaded Python so they themselves do not enter race conditions and deadlocks.
There is a massive upside to this as well. I'm currently writing this on the cheapest Apple Mac Mini M4. 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. Once free-threaded Python is fully part of the ecosystem, I should get much closer to maximum capacity with a standard Python program using threading and the async and await keywords.
Some other notable findings from the survey:
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.
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)...
"The survey tells us that one-third of devs contributed to open source. This manifests primarily as code and documentation/tutorial additions."
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"For a few dozen people in the world, the downside of living with a rare immune condition comes with a surprising superpower — the ability to fight off all viruses..." notes an announcement from Columbia University.
"At first, the condition only seemed to increase vulnerability to some bacterial infections. But as more patients were identified, its unexpected antiviral benefits became apparent."
Columbia immunologist Dusan Bogunovic discovered the individuals' antiviral powers about 15 years ago, soon after he identified the genetic mutation that causes the condition... Bogunovic, a professor of pediatric immunology at Columbia University's Vagelos College of Physicians and Surgeons, soon learned that everyone with the mutation, which causes a deficiency in an immune regulator called ISG15, has mild, but persistent systemic inflammation... "In the back of my mind, I kept thinking that if we could produce this type of light immune activation in other people, we could protect them from just about any virus," Bogunovic says.
Today, Bogunovic is closing in on a therapeutic strategy that could provide that broad-spectrum protection against viruses and become an important weapon in next pandemic. In his latest study, published August 13 in Science Translational Medicine, Bogunovic and his team report that an experimental therapy they've developed temporarily gives recipients (hamsters and mice, so far) the same antiviral superpower as people with ISG15 deficiency. When administered prophylactically into the animals' lungs via a nasal drip, the therapy prevented viral replication of influenza and SARS-CoV-2 viruses and lessened disease severity. In cell culture, "we have yet to find a virus that can break through the therapy's defenses," Bogunovic says...
Bogunovic's therapeutic turns on production of 10 proteins that are primarily responsible for the broad antiviral protection. The current design resembles COVID mRNA vaccines but with a twist: Ten mRNAs encoding the 10 proteins are packaged inside a lipid nanoparticle. Once the nanoparticles are absorbed by the recipient's cells, the cells generate the ten host proteins to produce the antiviral protection. "We only generate a small amount of these ten proteins, for a very short time, and that leads to much less inflammation than what we see in ISG15-deficient individuals," Bogunovic says. "But that inflammation is enough to prevent antiviral diseases...."
"We believe the technology will work even if we don't know the identity of the virus," Bogunovic says. Importantly, the antiviral protection provided by the technology will not prevent people from developing their own immunological memory to the virus for longer-term protection.
"Our findings reinforce the power of research driven by curiosity without preconceived notions," Bogunovic says in the announcement. "We were not looking for an antiviral when we began studying our rare patients, but the studies have inspired the potential development of a universal antiviral for everyone."
More coverage from ScienceAlert.
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