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Properties vs Methods in Python: What Your Code Is Promising
The video explains when to use a property versus a method in Python, highlighting how each communicates different expectations around cost, side effects, and behavior. It also argues that async properties are typically a design smell and shows how to keep asynchronous work explicit while maintaining clean object design.
ai-functions
Python functions powered by AI agents - with runtime post-conditions for reliable agentic workflows.
Capturing Plots in R and Python: A Tale of Two Architectures
This post explains how plot capture works differently in Python and R: in Python (especially Jupyter) all figure output goes through a single display system that makes automatic capture reliable, whereas in R the graphics architecture has no central display layer so capturing plots is harder and often requires explicit publishing. It contrasts the architectural reasons behind these diffe...
taylorwilsdon / google_workspace_mcp
Control Gmail, Google Calendar, Docs, Sheets, Slides, Chat, Forms, Tasks, Search & Drive with AI - Comprehensive Google Workspace / G Suite MCP Server & CLI Tool
knock-knock
A Fun, Live View of SSH Break-in Attempts.
github / awesome-copilot
Community-contributed instructions, prompts, and configurations to help you make the most of GitHub Copilot.
Guido van Rossum Interviews Thomas Wouters (Python Core Dev)
Python Essentials for AI Agents β Tutorial
This Python course will help you master the technical stack behind autonomous intelligence. This course is designed to take you from the core syntax of Python through the complexities of data handling and API integration, culminating in the deployment of sophisticated Large Language Models. You will learn to write code and to architect systems that can reason, use tools, and solve real-w...
The bug fix paradox: why AI agents keep breaking working code
The article explains that when you ask an AI coding agent to fix a bug, it often makes unnecessary changes to working code because it does not explicitly know which behavior should stay the same and which should change, leading to regressions. It then proposes a property-aware code evolution approach that defines a clear bug condition and corresponding preservation properties so the fix ...
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Project by Ruslan Keba. Since 2012. Powered by Python. Made in πΊπ¦Ukraine.