A veritable garden of linters and type checkers has blossomed in the Python ecosystem. Pyright and Mypy are two of the most popular, while Astral’s ty and Meta’s Pyrefly are two promising Rust-based newcomers. We compared early-stage ty and Pyrefly last June. One year later, Meta has released Pyrefly 1.0.
Pyrefly is intended to stand out from the pack by way of a few key features. It’s written in Rust for performance and memory efficiency, and it has a number of intriguing forward-looking features, some still experimental.
Setting up Pyrefly
Pyrefly installs into a Python environment like any other Python type checker (pip install pyrefly) and brings with it no additional dependencies. Visual Studio Code users can work with Pyrefly via an extension, but the extension doesn’t give you access to the command-line tools offered by Pyrefly when it’s installed in a project venv.
You can start using Pyrefly right away, with no actual setup. If Pyrefly detects no configuration for a given pro
In this article, we will dive deep into five must-know Python concepts that will help you transition from writing clunky, slow spaghetti code to constructing lightning-fast, production-grade, and beautifully functional data pipelines.
In this tutorial, we implement a practical use case with Loguru, a powerful, flexible, and production-ready logging library for Python.
The post A Coding Implementation on Loguru for Designing Robust, Structured, Concurrent, and Production-Ready Python Logging Pipelines appeared first on MarkTechPost.
AgentTrove is the largest open-source collection of agentic interaction traces, with 1.7M rows in a ShareGPT-style layout. This hands-on Python tutorial shows how to stream the dataset without full downloads, normalize agent turns, extract commands, analyze trajectories, and export successful traces into a clean SFT fine-tuning dataset.
The post How to Use AgentTrove: Streaming 1.7M Agentic Traces and Building a Clean ShareGPT SFT Dataset in Python appeared first on MarkTechPost.
The first beta release of Python 3.15 has arrived. That means it’s time to discover all the best new features in Python, and especially its low-to-no impact profiling tools. Plus, with the recent debut of Mojo 1.0, you can see for yourself how the one-time Python challenger has set out on a path of its very own.
Top picks for Python readers on InfoWorld
First look: Mojo 1.0 mixes Python and Rust
What was once pitched as a potential Python replacement is evolving into a synthesis of Python’s easy syntax and package ecosystem and Rust’s native speed and memory safety.
The best new features in Python 3.15
Lazy imports, faster JIT compilations, better error messages, and smarter profiling make Python 3.15 a compelling upgrade. And you can try out beta 1 right now.
Hands-on with the new sampling profiler in Python 3.15
Another can’t-miss Python 3.15 feature: its low-impact statistical sampling profiler, for getting visibility into your programs without slowing them down.
Profile Python func
This article shows how to use free, open-source tools like Python and its Textstat library to build a script that automates the process of capturing "gatekeeping language" in job descriptions before publishing them.
A single malformed character in a web request can let an unauthenticated attacker slip past the access controls that guard applications built on Starlette, the open-source Python framework that powers FastAPI, researchers said.
The flaw, tracked as CVE-2026-48710 could allow attackers to bypass host-validation protections using malformed Host headers, according to an advisory from cybersecurity firm X41 D-Sec.
The attacker needs no password and no action from a victim, it said.
Starlette’s maintainer released a patch through an official GitHub security advisory after X41 D-Sec disclosed the vulnerability in coordination with the Open Source Technology Improvement Fund (OSTIF). They found the flaw during an unrelated source-code audit, and traced it to Starlette rather than the application under review.
“This bug is a classic ‘responsibility gap’ where if this maintainer didn’t patch, thousands of exposed projects would have to individually secure their projects,” OSTIF said.
The resear
