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Most developers stuck on older Python versions despite major performance gains

5/10 Medium

83% of developers run Python versions 1+ years old despite containerization making upgrades trivial. Missing out on 11-42% performance improvements (3.11→3.13/3.10→3.13) and 10-30% memory reductions without code changes.

Category
dx
Workaround
solid
Stage
deploy
Freshness
persistent
Scope
language
Recurring
Yes
Buyer Type
team
Maintainer
active

Sources

Collection History

Query: “What are the most common pain points with Python in 2025?3/27/2026

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%).

Created: 3/27/2026Updated: 3/27/2026