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In this quiz, you’ll revisit the core concepts covered in the Files and File Streams learning path: Learning Path Files and File Streams 13 Resources ⋅ Skills: Python, Pathlib, File I/O, Serialization, Encoding, Unicode, PDF, WAV, Context Managers, ZIP Files You’ll check your understanding of opening and reading files, navigating the file system with pathlib, managing resources with context managers and the with statement, and reading or writing WAV audio files. Take your time and revisit any topics […]

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In this quiz, you’ll revisit the core concepts covered in the Python Web Scraping learning path: Learning Path Python Web Scraping 10 Resources ⋅ Skills: Web Scraping, HTTP Requests, Data Parsing You’ll be quizzed on making HTTP requests, parsing HTML with Beautiful Soup, extracting data with Scrapy, working with JSON and CSV response data, and automating browsers with Selenium. Take your time and revisit any topics that feel rusty before moving on. [ Improve Your Python With 🐍 […]

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In this quiz, you’ll revisit the core concepts covered in the DevOps With Python learning path: Learning Path DevOps With Python 10 Resources ⋅ Skills: Packaging & Deployment, CI/CD, AWS, Docker, Logging The 16 questions span running Python scripts, managing dependencies with pip, automating workflows with GitHub Actions, and configuring Python’s logging module. Take your time and revisit any topics that feel rusty before moving on. [ Improve Your Python With 🐍 Python Tricks 💌 – Get a […]

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Autonomous AI systems are beginning to move beyond software environments and into warehouses, delivery networks, and public spaces. The development is drawing attention to whether current AI rules cover systems that operate in physical environments. Most existing AI governance frameworks have focused on online harms and model outputs, including bias, misinformation, and harmful content. Embodied AI systems carry risks in physical environments, where failures can affect infrastructure, property, or human safety. Singapore’s Infocomm Media Development Authority published version […]

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Author(s): Can Demir Originally published on Towards AI. The token bill, the tool-count cliff, and the “expected behavior” security handoff — three costs MCP delegates without naming them. Scroll through developer forums this month and you’ll see the same obituary in every thread: MCP is dead. Eric Holmes’ “MCP is dead, long live the CLI” hit the top of Hacker News. Pieter Levels called MCP “just as useless of an idea as LLMs.txt.” Thoughtworks put “naive API-to-MCP conversion” […]

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Author(s): Can Demir Originally published on Towards AI. Why the same model behaves like a different system depending on what surrounds it — and the anatomy of a good harness For the past two years, almost every conversation in AI has started with the same question: “Which model is best?” Opus or GPT or Gemini? Which one hallucinates less, which one writes cleaner React, which one holds the longest context? After the introduction, the article lays out harness […]

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