The Nightmare of Parsing Invoices If you’ve ever tried to extract structured data from an invoice or receipt, you know exactly how painful it is. You write a perfect regular expression to extract the total amount from one vendor. It works beautifully. Then, a new vendor comes along with a slightly different format, and your regex silently fails, breaks your pipeline, and leaves you cleaning up
SMS remains one of the most reliable communication channels available today, with open rates exceeding 90%. Whether you are building an OTP SMS API for authentication, setting up transactional alerts, or automating marketing workflows, a robust SMS API integration is a powerful addition to any stack. In this tutorial, we will explore how a REST SMS API works and walk through a practical implementa
The Tech Compass: Navigating AI's Waves, Securing Our Foundations, and Optimizing Every Byte Welcome to your latest dose of cutting-edge insights! As we hurtle further into 2026, the technology landscape continues its breathtaking transformation. This week's trending talks offer a fascinating snapshot of where we are and where we're headed. From the pervasive, sometimes perilous, influence of Ar
An opinionated list of Python frameworks, libraries, tools, and resources
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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