An opinionated list of Python frameworks, libraries, tools, and resources
Compliance-Ready Infrastructure Design In the current regulatory landscape, compliance is no longer a secondary checklist managed by legal departments; it has become a fundamental engineering requirement. For enterprises in finance, healthcare, and government sectors, the infrastructure layer is the first line of defense against both cyber threats and regulatory scrutiny. A failure in compliance
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Three weeks later, backup verification jobs are silently failing. Monitoring dashboards are dark. The on-call team is operating without baselines. Nobody knows what normal looks like on the new platform. The VM conversion worked. The migration did not. This is the lift-and-shift KVM fallacy — and it isn't a KVM problem. It's a scoping problem. Most VMware-to-KVM migration plans capture the visible
My scrapers run on PythonAnywhere. My phone runs Termux. I wanted them to talk to each other. The standard options all had the same problem: they required infrastructure I didn't want to maintain. Firebase — cloud lock-in, SDK overhead, costs money at scale Ngrok — exposes a port on my phone, dies when the tunnel resets A VPS with Redis — another server to maintain, SSH into, keep alive Webhook to
Before you train a model, you need data in the right format. This took me longer than I expected and taught me a lot about how LLMs actually learn. I used MedQA USMLE — real medical licensing exam questions used to certify doctors in the US. It's available on HuggingFace for free. from datasets import load_dataset dataset = load_dataset("GBaker/MedQA-USMLE-4-options") Each sample looks like this:
Series: How Machines Learn: A Complete Guide from Zero to AI Engineer Phase 6: Machine Learning (The Core) You've been hearing "machine learning" for years now. Your phone uses it. Netflix uses it. Your spam filter uses it. Every tech company puts it in their job posts. And yet, if someone asked you right now to explain what machine learning actually is in plain words, you might freeze up a little
The 3 AM Nightmare Last week, I let an AI agent run loose on my production server. It was fine — until 3 AM. To interact with the agent, a user must first authenticate across Gmail, a support desk, and a payment platform — all before the agent takes its first action. Permission denied. Permission denied. Permission denied. Three different connectors. Three different auth systems. One very tired