ContentsTL;DRThe Assumption I Went In WithWho This Is ForBuilding the ExperimentComponent 1: The Topology GeneratorComponent 2: The Agent PolicyComponent 3: The DiagnosticsWhat I DidWhat I GotLooking Underneath the Number That Didn’t MovePerformance CharacteristicsHonest Design Decisions1. The Deterministic Agent Policy2. Standard Library Keyword Matching3. Removing Circular Early Exits4. Budget Size and Ceiling Effects5. Dependency FootprintTrade-Offs and …

Graph Engineering Isn’t About More Connections — It’s About Which Ones Get Used Read More »

Contents# Introduction# 1. pyjanitor for Fluent, Chainable DataFrame Cleaning# 2. Great Expectations for Data Validation and Quality Checks# 3. ftfy for Fixing Broken Unicode and Text Encoding Problems# 4. ydata-profiling for Instant Dataset Audits# 5. Cerberus for Lightweight Schema Validation on Arbitrary Data Structures# Summary and Next Steps # Introduction  Data cleaning is rarely interesting, but it does consume the majority of a …

5 Python Libraries That Make Data Cleaning More Enjoyable Read More »

, the good folks at DuckDB released a database communication protocol called Quack. Its main aim was to allow DuckDB databases held on different servers to communicate with each other over HTTP in a client/server arrangement and allow them to read and write each others data. In other words, using the Quack protocol, DuckDB sitting …

Running SQL Concurrently Across Three Remote DuckDB Servers with Quack Read More »

  Web scraping is the process of collecting information from websites automatically. A normal scraper usually extracts raw text, HTML elements, or the full page content. But when you are building AI agents or large language model (LLM) applications, sending the entire webpage to the model is not always the best approach. A better way …

How to Build a Simple AI Web Scraper with Python Read More »

3.7 Flash shows strong gains over 3.6 Flash in coding tasks like debugging and issue resolution. It also achieves higher first-pass code accuracy and has improved performance in generating production-ready code as seen in FrontierCode 1.1 Main (43.6% vs 34.4%) and DeepSWE v1.1 (65.3% vs 49.0%). In web development, 3.7 Flash generates more functional layouts …

our most intelligent workhorse model Read More »