#Python
research notes.

Python development, libraries, and tooling for AI, data, trading, and automation.

[ 01 ]
tech

Master AI Agents from Scratch: The Ultimate No-Framework Beginner's Guide

Build a real AI agent from scratch with plain Python and OpenRouter. This no-framework beginner's guide reveals exactly how tool calling and reasoning loops work under the hood.

[ 02 ]
tech

MCP Server Registry: The Ultimate Discovery Guide for 2026 Coding Agents

Stop writing boilerplate. Use the 2026 MCP Server Registry to give your AI agents real hands.

[ 03 ]
crypto

Building a Sovereign Trading Bot: Automated Python Execution on MT5 (2026)

Stop renting bots. Master the Python-MT5 stack for local, private, and high-performance algorithmic trading. Includes modular boilerplate and 2026 best practices.

[ 04 ]
tech

AI-Powered Web Scraping: Combining Playwright, LLMs, and Python for Structured Data

Master AI web scraping in 2026. Learn how to build self-healing pipelines that combine the speed of Playwright with the intelligence of LLMs.

[ 05 ]
crypto

Algorithmic Trading with LLM Sentiment: Building a Real-Time News Pipeline in Python

Master sentiment-driven trading in 2026. Learn how to build a Python pipeline that converts global news into actionable alpha signals using DeBERTa and CCXT.

[ 06 ]
tech

Zero-Tech Debt: Building Self-Refactoring Codebases with Agentic Hooks

Master the 2026 standard for repo maintenance. Learn how to use agentic hooks and CLAUDE.md to build a self-healing codebase that prunes itself 24/7.

[ 07 ]
tech

I Got Tired of Windows Power Modes, So I Wrote a Script Just for Myself

A personal story about building PowerTune — a simple script to switch Windows power modes instantly without digging through settings or trusting whatever Windows thought was 'balanced' that day.

[ 08 ]
tech

I Built My Own AI Trading Bot. Here's the Brutally Honest Guide to Doing It Yourself

A no-fluff, battle-tested breakdown of how to build an AI trading bot in Python — covering strategy, data, model selection, backtesting, and the real reasons most bots blow up.

[ 09 ]
tech

Data Science Crypto Market Analysis: A Practical Framework for Smarter Market Research

A practical framework for using data science in crypto market analysis — covering data sources, key metrics, ML use cases, and Python tools to turn noisy market data into structured, evidence-driven decisions.

[ 10 ]
tech

LiteLLM: The Ultimate Open-Source AI Gateway for 100+ LLMs

Learn how LiteLLM unifies 100+ LLMs (OpenAI, Anthropic, Gemini, Groq) behind one AI gateway, cuts provider lock-in, and gives teams full control, observability, and cost tracking.