Section
Python
The latest Python coverage from Bullquill: sourced, dated and explained.
6 POSTSUPDATED
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How to Evaluate an LLM App in Python: Test Sets, Graders, CI
Start with about 30 real inputs, score them with code checks and a calibrated LLM judge, and rerun the suite on every change. OpenAI's hosted Evals platform goes read-only on Oct. 31, 2026, so a portable suite matters.
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How to Backtest a Crypto Trading Strategy in Python with CCXT
A step-by-step Python guide to fetching Bitcoin candles with CCXT, coding a moving-average crossover in pandas without look-ahead bias, charging fees and slippage, and measuring return, drawdown and win rate, plus why a backtest is not a forecast.
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How to build an AI agent in Python with tool calling
A framework-free guide to building an AI agent in Python: describe tools with JSON Schema, write the loop that runs tool calls, switch to a local model via Ollama, and enforce guardrails such as allow-lists, step limits and human confirmation.
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How to Build a RAG App in Python with Ollama and Chroma
A hands-on, fully local retrieval-augmented generation walkthrough: split your documents into chunks, embed them with Ollama, search them in Chroma and make a local LLM answer with citations, plus chunk-size trade-offs and a simple evaluation checklist.
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How to build an MCP server in Python: a step-by-step guide
A hands-on guide to building a Model Context Protocol server in Python: set up the official SDK, expose a tool and a resource, test with the MCP Inspector, connect it to Claude and apply the security rules the spec requires.
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How to run a local LLM with Ollama on macOS, Windows or Linux
A hands-on guide to running a private, offline AI model with Ollama: what hardware you need, how to install it, pick a quantized model, save a custom system prompt and call the local API from curl and Python.
