Step-by-step Python tutorials
What Is the Claude Agent SDK? Last year we built an AI agent from scratch using raw API calls and a while loop. That’s still the right approach if you want to understand how agents work. But if you want to ship one? There’s a faster path now. The Claude Agent SDK is Anthropic’s official … Read more
What We’re Building You have a website. You want to know if search engines can actually read it. Instead of paying for yet another SaaS tool, let’s build our own SEO auditor in Python. Under 200 lines, it’ll check a URL for the most impactful SEO issues and spit out a score. We’ll use httpx … Read more
What Is MCP (and Why Should You Care)? The Model Context Protocol (MCP) is an open standard that lets AI models call your code. Think of it as a USB-C port for LLMs: one protocol, any tool. Instead of copy-pasting data into ChatGPT, your LLM client (Claude, Cursor, etc.) can call functions you define and … Read more
Polymarket lets you trade on the outcome of real-world events. Weather markets are a good fit for data-driven trading: NOAA publishes free historical and forecast data, and many weather contracts resolve on official sources. If you can estimate the probability of an event better than the crowd, you can place informed bets. This tutorial shows … Read more
You keep hearing about AI agents — but what actually is one, and how hard is it to build? Turns out: not hard at all. In this tutorial, we’ll build a simple AI agent in Python that can call tools, make decisions, and take real actions — in under 100 lines of code. What Is … Read more
YouTube has captions on most videos, but getting them out as clean text is surprisingly painful. There is no official “download transcript” API for casual use, third-party tools are ad-ridden, and most Python libraries that once worked have been broken by YouTube’s constant anti-scraping changes. So we built YouTube2Text — a free tool where you … Read more
Ever wondered how models like ChatGPT actually work under the hood? In this tutorial, we’ll build a tiny GPT model from scratch using PyTorch — no PhD required. We’ll lean on Andrej Karpathy’s brilliant nanoGPT repo as our guide and strip the architecture down to its essentials. By the end, you’ll understand the core building … Read more
A comprehensive guide to using yfinance for fetching stock data, financial statements, options chains, and building interactive charts with Plotly. Includes real code snippets and visualizations.
