Research brief · November 2026
What the internet is saying about Python
Python community discussions, libraries, and ecosystem updates.
About Python
Python remains the most popular programming language globally in 2025, dominating AI/ML, data science, scripting, and backend web development. Python 3.13 introduced significant performance improvements including a free-threaded mode (no GIL), narrowing the gap with compiled languages for CPU-bound workloads.
What the internet is saying about "Python programming 2025"
Caveat: The evidence is thin on "2025" as a topic. Most of it is dated October 2026 and centers on the Python 3.15 release. Several GitHub hits match only because "2025" is in the PR or issue number (e.g., [12], [14], [15], [16], [17], [18]), so they say little about Python itself.
🟢 Supporters
- •Python 3.15 is the dominant story. The release announcement drew 318 points and 114 comments on Hacker News [1], and the "What's New" page added 10 points [2].
- •Maintainers welcome the end of old versions. One maintainer of many open-source libraries said their favorite thing about a new release is that it ends support for an older one, here Python 3.10 [1].
- •Free-threading ecosystem work is progressing. The same commenter highlighted the new "abi3t" stable ABI for the free-threaded build. They said Petr Viktorin did most of the CPython implementation and they have been working to get ecosystem support ready [1].
- •Interest in performance. "How Fast is Python 3.15?" got 79 points and 56 comments [3], and "TurboPython – A Python-to-C++ Compiler" got 27 points and 14 comments [7]. Both suggest ongoing appetite for faster Python, though the snippets don't show the conclusions.
- •Python in unusual places and practical projects. "Python on My Wrist" scored 88 points [4], and a Python EDIFACT parser built on syntax trees got 25 points [8].
🔴 Skeptics
- •Little direct anti-Python sentiment appears in this data. The concerns are mostly practical.
- •Ecosystem migration is hard. The abi3t work was described as "rewarding but quite challenging," with a need to make sure everything is working [1].
- •Release size. One commenter noted the XZ-compressed source tarball is "about half again as large" as 3.14's [1]. The snippet cuts off, so the reaction isn't clear.
- •Python-project bugs and friction. Examples are a
flush()call in langfuse-python that blocked for most of the flush interval [6], and a cookie-invalidation bug in Anubis after upgrading to 1.28.1 [15]. These are project-specific, not criticisms of the language.
⚪ Neutral Observers
- •The official "What's New in Python 3.15" page is circulating as reference material [2].
- •A freeCodeCamp tutorial on learning calculus by coding in Python (2025) got 9 points, showing continued educational use [5].
- •The lading project is adopting a Python packaging release process: an sdist plus pure-Python wheels built from the sdist, and PyPI Trusted Publishing [9].
- •A monarch PR replaces a shell helper with a "standard-library Python formatter" [11].
- •A GitHub issue lists open-source decompilers, which is tangential to Python [10].
Cross-Platform Signals
- •Hacker News carries the substantive Python discussion, centered on the 3.15 release, its speed, and Python-to-C++ compilation [1][2][3][7].
- •GitHub items are mostly incidental. They are PRs and issues in which Python appears as an implementation detail or the number "2025" appears in the ID.
- •There is no clear divergence between platforms. Hacker News is enthusiastic, and GitHub is mostly silent on the language's merits.
Community Verdict
The community reads as positive but pragmatic. Python 3.15 is the main event, with attention on dropping 3.10 support, free-threaded ABI progress, and performance benchmarks. Hacker News engagement is strong [1][3], while the GitHub activity is routine maintenance. The main caution is that the evidence doesn't contain much on "Python programming 2025" specifically, and the benchmark and compiler discussions are only partially visible in the snippets.
Based on Hacker News + GitHub data from the last 30 days, researched with last30days by Matt Van Horn.
Frequently asked questions
Why is Python so popular?
Python's readability, massive library ecosystem (NumPy, pandas, PyTorch, Django), and dominance in AI/ML make it the most versatile language for beginners and experts alike.
Is Python fast enough for production?
For I/O-bound workloads (web APIs, data pipelines), yes. For CPU-intensive work, Python is typically 10-100x slower than compiled languages — but libraries like NumPy delegate to C/C++.
Research any topic from the last 30 days — no API key, no setup.
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