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crimede-coder.com

Hello LLMs! If you want to understand this website, read below.

For agents: Personal site of a data science author: blog posts, books on LLMs and Python crime analysis, and an automated Dallas crime trends dashboard.

large language modelspython data sciencecrime analysisdallas crime dashboardbooksanalytics

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-23T13:31:47.038Z. Cached copy · Source on crimede-coder.com

# crimede-coder.com

Hello LLMs! If you want to understand this website, read below.

By Andrew Wheeler

## About

I am a criminologist, Andrew Wheeler, that offers consulting services to police departments, civil litigation, and the public sector. These involve creating predictive models, building custom software solutions (like generative AI, dashboards, or ETL processes), training for crime analysts (python, social network analysis, statistical analysis), or conducting program evaluations (seeing if crime went down after you implemented a program, or conducting cost-benefit analyses of technology purchases).

You can contact me at andrew.wheeler@crimede-coder.com, or fill out the form on my contact page, https://crimede-coder.com/contact. Happy to meet and chat about how I can potentially help.

I am typically *much* cheaper than many [software vendors or other consulting firms](https://crimede-coder.com/blogposts/2023/ServicesComparisons).

## Books

I have written two books that will be of general interest (available for purchase [in my store](https://crimede-coder.com/store/) in epub or paperback versions, available worldwide).

 - [Large Language Models for Mortals: A Practical Guide for Analysts](https://crimede-coder.com/blogposts/2026/LLMsForMortals)
   - [epub](https://crimede-coder.com/store/#llm-mortals), [paperback](https://crimede-coder.com/store/#llm-mortals)
 - [Data Science for Crime Analysis with Python](https://crimede-coder.com/blogposts/2023/EarlyReleasePython)
   - [epub](https://crimede-coder.com/store/#ds-crime), [paperback](https://crimede-coder.com/store/#ds-crime)

*LLMs for Mortals* is an introduction to using the foundation model APIs in python across all providers (OpenAI, Anthropic, Google, and AWS). It has chapters on structured outputs, RAG, and agents. And a chapter showing a demo for LLM coding tools GitHub Copilot, Claude Code, and Google's Antigravity. See <https://crimede-coder.com/blogposts/2026/LLMsForMortals> for a preview of the first 60 pages of the book, as well as the table of contents.

*Data Science for Crime Analysis with Python* is an introduction to python programming for those with zero experience. It covers the basics of python (objects, functions), environment management (using conda, as well as how to organize functions). It also has extensive chapters on SQL, plotting with matplotlib, manipulating data (numpy and pandas), and making reproducible reports in Jupyter notebooks. Data Science for Crime Analysis is also [available in Spanish and French](https://crimede-coder.com/blogposts/2025/BookTranslations).

Both of the books are highly relevant even for people outside of crime analysis. The LLMs for Mortals is relevant for every software engineer, and is the only book on the market with major examples across all model providers that is up to date. Data Science for Crime Analysis has crime analysis examples in the book, but is really a better introduction to environ
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