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Introduction – Rust for Python Programmers
Rust for Python Programmers: Complete Training Guide A comprehensive guide to learning Rust for developers with Python experience. This guide covers everything from basic syntax to advanced patterns, focusing on the conceptual shifts required when moving from a dynamically-typed, garbage-collected language to a statically-typed systems language with compile-time memory safety. How to Use This Book Self-study format: Work through Part I (ch 1–6) first — these map closely to Python concepts...
Python JIT compiler project under threat after steering council says proper process wasn't followed
The Python steering council has surprised onlookers by asking for the suspension of new development on the JIT (just in time) compiler project from the main branch of the Python code repository, pending creation and acceptance of a new PEP (Python enhancement proposal) for the project. Bug and security fixes for existing JIT code in main will continue to be accepted, but if no PEP is submitted and approved within six months, the JIT code will be removed from main. The announcement is...
PyFEX: Uncovering Evasive Python-based Threats via Resilient and Exhaustive Path Exploration
arXiv:2606.02196v1 Announce Type: new Abstract: The rapid expansion of the Python ecosystem has fueled two distinct but converging threats: adversaries increasingly target the software supply chain via the Python Package Index (PyPI), while also building evasive, cross-platform malicious binaries compiled from source code written in Python. Current program analysis techniques struggle to address this dual threat. Static analysis based tools are often blinded by runtime obfuscation and...
scicode-lint: Detecting Methodology Bugs in Scientific Python Code with LLM-Generated Patterns
arXiv:2603.17893v2 Announce Type: replace Abstract: Methodology bugs in scientific Python code produce plausible but incorrect results that traditional linters and static analysis tools cannot detect. Several research groups have built ML-specific linters, demonstrating that detection is feasible. Yet these tools share a sustainability problem: dependency on specific pylint or Python versions, limited packaging, and reliance on manual engineering for every new pattern.
Running Python code in a sandbox with MicroPython and WASM
Running Python code in a sandbox with MicroPython and WASM 6th June 2026 I’ve been experimenting with different approaches to running code in a sandbox for several years now, but my latest attempt feels like it might finally have all of the characteristics I’ve been looking for. I’ve released it as an alpha package called micropython-wasm, and I’m using it for a code execution sandbox plugin for Datasette Agent called datasette-agent-micropython. - Why do I want a sandbox? -
ProSPy: A Profiling-Driven SQL-Python Agentic Framework for Enterprise Text-to-SQL
arXiv:2606.05836v1 Announce Type: new Abstract: Large language models have substantially advanced Text-to-SQL systems, yet applying them to enterprise-scale databases remains challenging. Real-world databases often contain large and heterogeneous schemas, incomplete metadata, dialect-specific SQL syntax, and complex analytical questions that are difficult to solve with a single SQL query. To address these challenges, we propose ProSPy, a Profiling-driven SQL--Python agentic framework for...
LLM vs. Human Unit Tests: Fault Detection on Real Python Bugs
arXiv:2606.08588v1 Announce Type: new Abstract: Large language models (LLMs) have shown considerable promise for automated unit test generation, yet their practical effectiveness relative to human-written tests remains poorly understood. Existing evaluations commonly rely on coverage-oriented benchmarks that do not assess fault-detection capability directly. We present an empirical comparison of LLM-generated and human-written unit tests across three complementary Python benchmarks: 29 real...
Visual-to-Code Authoring, Tensor-Network Debugging, and Quantum-Circuit Inspection Tools in Python
Announce Type: cross Abstract: Tensor networks and quantum circuits are structural objects whose meaning depends on connectivity, indices, contraction order, gate placement, measurements, and related design choices. They are often easier to reason about visually than as code, yet in Python they are frequently constructed, transformed, and checked through backend-specific objects or compact symbolic expressions. This can make structural mistakes hard to notice during development, debugging,...
huff: A Python package for Market Area Analysis
arXiv:2602.17640v4 Announce Type: replace-cross Abstract: Market area models, such as the Huff model and its extensions, are widely used to estimate regional market shares and customer flows of retail and service locations. Another, now very common, area of application is the analysis of catchment areas, supply structures and the accessibility of healthcare locations. The huff Python package provides a complete workflow for market area analysis, including data import, construction of...
amerta: A Python Library for Idealized 1D Saint--Venant Dam-Break Simulation
arXiv:2605.31011v1 Announce Type: new Abstract: The Saint-Venant shallow water equations (SWE) govern depth-integrated free-surface flows arising in dam-break inundation, flood routing, tsunami runup, and estuarine tidal dynamics. Closed-form analytical solutions exist only for highly idealized Riemann configurations, making rigorously verified numerical solvers essential. This work presents amerta, an open-source Python library that solves the one-dimensional frictionless Saint-Venant...