This chapter examines how data science and AI enhance our understanding of complex economies, featuring insights on economic complexity and agent-based modeling.
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Arthur Turrell is an economic data scientist.
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The blog post discusses the critical importance of national statistics in the UK and highlights recent systemic flaws in their production. The author, Arthur Turrell, proposes a reimagined statistical institute that leverages mode...
6.2Arthur Turrell
2026-03-09 • code qwen 3.5 large language models local llm models ai
The post explores the advancements in local large language models, particularly Qwen3.5:35B, and provides a guide for setting them up for coding tasks on personal computers.
Generative AI can effectively assist in reading odometer and utility meter readings using lightweight local models, enhancing data accessibility and innovation in various industries.
5.7Arthur Turrell
2025-10-22 • economics fan engagement reselling concerts
The article discusses the issue of ticket reselling in the concert industry, highlighting how artists often set ticket prices below market equilibrium to make concerts accessible to fans. This practice inadvertently allows reselle...
The article explores the economic growth potential from making private datasets open, using a model to illustrate how access to new data can enhance total factor productivity (TFP) for firms. It discusses the direct benefits for f...
5.5Arthur Turrell
2025-08-28 • politics data analysis media coverage nigel farage gdelt
The post analyzes the media coverage of Nigel Farage in comparison to other MPs in his Reform UK party using data from the GDELT database. The author confirms that Farage receives disproportionate coverage, particularly from the B...
5.1Arthur Turrell
2025-09-30 • web development pdf economics code playwright
The author responds to a request for a PDF version of their book 'Coding for Economists.' They explain that while they do not have a PDF version, they created a script using Playwright to convert each webpage of the book into a PD...
The article discusses the significance of time management in the context of limited resources, drawing parallels between time and other economic resources. It highlights the importance of time-use surveys, such as the American Tim...
0Arthur Turrell
2025-04-21 • data analysis python visualization dag software dependencies
smartrappy is a tool designed to help understand and visualize the dependencies in analytical Python projects. It analyzes a Python project and infers the directed acyclic graph (DAG) of code and data dependencies, then visualizes...
The text discusses ideas for increasing the efficiency of analysis and operations through automation, good coding practices, artificial intelligence, and analysis. It explains the concept of analysis and operations, and how to mak...
The text discusses ideas for improving efficiency in the public sector, particularly focusing on communication and co-ordination between public sector workers. It emphasizes the importance of staff well-being and satisfaction, and...
0Arthur Turrell
2025-03-05 • data analysis validation private sector data tools
The text discusses the importance of data validation in the public sector, highlighting the process, tools, and examples of data validation packages such as Great Expectations, Pointblank, Pandera, Pydantic, and Cerberus. It also ...
The text discusses the release of two new ultramodern repos: a Cookiecutter Python Package and a Cookiecutter Research Project. It details the key features of the new ultramodern cookiecutter and the research project, including th...
0Arthur Turrell
2025-01-01 •
The text explains how to resume sessions on virtual machines while using Visual Studio Code remote by starting off persistent shell processes using a command line tool called screen that comes pre-installed in many Linux distribut...
0Arthur Turrell
2024-12-28 •
Arthur Turrell discusses the potential of using recent Large Language Models (LLMs) to convert old handwritten lecture notes into beautifully formatted markdown and equations. He shares his experience using two recent models from ...
0Arthur Turrell
2024-09-16 •
The text discusses the economic sense of investing in high-end laptops for employees, arguing that the cost of lost time due to glitches and crashes in mid-range laptops outweighs the additional cost of high-end laptops. The autho...
0Arthur Turrell
2024-04-23 •
The text provides instructions on how to create a new MySQL database on Microsoft Azure, including prerequisites, creating a MySQL server, configuring permissions, connecting to the SQL server using the command line, working with ...
0Arthur Turrell
2024-04-22 •
The text provides a step-by-step guide on how to create a new blob storage account on Microsoft Azure using the command line interface. It includes instructions on creating the storage account, assigning permissions, creating a st...
0Arthur Turrell
2024-03-08 •
The text provides a detailed guide on how to connect desktop-based Visual Studio Code to a virtual machine running on Microsoft's Azure platform. It includes step-by-step instructions on setting up Visual Studio Code, creating a c...
0Arthur Turrell
2023-12-04 •
The post explains how to access a second computer that works like a normal computer to offload some computation using Google's remote desktop service. It provides a step-by-step guide on how to set up a virtual machine on Google C...
0Arthur Turrell
2023-11-13 •
The text is about a talk given at No. 10 Downing Street on data science with impact. It discusses the concept of data science for the public good, provides examples of projects that have had a public impact, and outlines considera...
0Arthur Turrell
2023-10-12 •
The text discusses the importance of a model registry for large institutions, including in the public sector, and how it can benefit them. It explains what a model registry is, why it is needed, and the reasons for using it. It al...
0Arthur Turrell
2023-09-27 •
The blog post discusses how to use Google Cloud, Terraform, and FastAPI to deploy a queryable data API on the cloud. It explains the process of creating an image of a computer that serves up an API, sticking it on a scalable cloud...