Daily edition · Python
TILens turns technical updates into a focused daily brief: official releases, trusted reporting, and practitioner analysis, deduplicated and organized by topic.
17 articles · 6 sources · 4 papers ·
Top topics: Python · AI · AI Research
Today's PHP Security Release, and How We're Strengthening PHP Security If you're running anything on PHP it's vital you upgrade - today's updates (across the entire PHP 8.x line) address two remote code execution holes,…
Panache — RTS Belle Époque pour mobile Well this is delightful: I released Battle Drones yesterday under an Apache 2.0 License and there's already a French language fork which reskins the game to take place in steampunk…
Three certified security releases for 3.15, 3.14 and 3.13.
I want to pitch a @durable decorator. It takes a generator function and rewrites it into a generated class. Any local that’s still needed after a yield becomes an instance attribute, and a match on a program-counter…
I hosted a webinar on the 20th talking about the Jev model, which is a new AI decision model that works well in responding quickly to simple questions to a particular piece of information. This model has been talked…
At Microsoft, our focus is on providing the best possible experience for Python developers – both for everyday coding and for the agentic workflows that are increasingly central to how developers build software. A great…
Learn how to use Tachyon, Python's sampling profiler. “Tachyon” is a new sampling profiler that was introduced in Python 3.15. It provides a CLI that allows running and profiling scripts or attaching to running…
A hands-on guide to building browser automation by combining decision models with LLMs. The post Decision Models in Action: Build a Hybrid LLM Workflow appeared first on Towards Data Science.
What I learned about queues, failure recovery, and reproducibility while building asynchronous workloads on AWS The post How to Turn Long-Running Python Simulations Into a Self-Service Platform appeared first on Towards…
Combine Python's itertools functions into memory-efficient pipelines as you deal cards, analyze stock data, and pick relay teams.
Learn practical Python performance optimization techniques, from confirming a bottleneck with timeit to picking the fix that makes your program faster.
Day 2 of the Python Core Sprint was all about one thing for me: moving our GitHub bots, bedevere, blurb_it, and miss-islington, off Heroku and onto the PSF’s Cabotage. Monday was prep. Yesterday was the switch. The…
Grid puzzles that people solve almost perfectly show where language and vision models still break The post Spatial Reasoning in AI Models, Taken Apart appeared first on Towards Data Science.
Test your understanding of random data in Python, from seeding the random module to generating secure tokens with secrets and uuid.
Test your grasp of Python performance optimization, from confirming a bottleneck with timeit to picking fixes like sets, built-ins, and caching.
Building an incremental pipeline with dbt snapshots, and the API that quietly lied to me along the way. The post I Built a Pipeline to Track the Job Market I'm Trying to Break Into. appeared first on Towards Data…
PEP 841 proposes adding new display syntax for frozenset and frozenlist: f{1, 2, 3} for a frozenset f{"a": 1} for a frozendict It also proposes comprehension syntax for both of these immutable collections, supporting…
