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Discovering Python & R | — my journey as a worker bee in quant finance — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Programming Languages →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
myquantjourney.com ↗	67 match 2 shared topics	My Quant Journey	en	programming-languages Ghost	robotsllmsaihumans	emailphone	none
myopensourcejourney.com ↗	65 match 2 shared topics	My Open Source journey	en	programming-languages	robotsllmsaihumans	emailphone	none
davideandreazzini.co.uk ↗	65 match 2 shared topics	Davide Andreazzini — DevOps, Linux, Python & Self-Hosting Blog	United Kingdom en	technology-and-computing Ghost	robotsllmsaihumans	emailphone	partial · 14
casualdeveloper.net ↗	65 match 2 shared topics	Casual Developer-Casual Developer	en	programming-languages	robotsllmsaihumans	emailphone	none
trevorcroteau.com ↗	64 match 2 shared topics	Trevor-Croteau-Data-Portfolio \| This is a place for my journey through learning data science. I will include the code produced for each project of my mine as well as a brief description and the visualizations produced.	en	programming-languages	robotsllmsaihumans	emailphone	none
darvillracing.co.uk ↗	64 match 2 shared topics	Bunkers \| Journalling my year of making	United Kingdom en	programming-languages WordPress WooCommerce	robotsllmsaihumans	emailphone	none
fanaticles.co.uk ↗	64 match 2 shared topics	Bunkers \| Journalling my year of making	United Kingdom en	programming-languages WordPress WooCommerce	robotsllmsaihumans	emailphone	none
learningtopi.com ↗	63 match 2 shared topics	Learning to Pi - Programming Python on SBC's and Microcontrollers	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
simobj.com ↗	63 match 2 shared topics	cs rediscovery	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
bernat.tech ↗	63 match 2 shared topics	Bernát Gábor — Python packaging, tox, virtualenv & open source	en	programming-languages	robotsllmsaihumans	emailphone	none
mdsmith.dev ↗	63 match 2 shared topics	mdsmith — Markdown as a single source of truth	en	technology-and-computing	robotsllmsaihumans	emailphone	none
brianpos.com ↗	62 match 2 shared topics	using Hl7.Fhir; – Making FHIR work in your projects with minimal effort, and maximum conformance	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
lazycoderonline.com ↗	62 match 2 shared topics	LazyCoder Online \| Final Year Project Source Code with Reports (Java, Python, PHP, AI)	en	programming-languages	robotsllmsaihumans	emailphone	partial · 8
mitchellmudd.dev ↗	62 match 2 shared topics	Portfolio \| Hallo, I'm Mitchell Mudd!	en	technology-and-computing	robotsllmsaihumans	emailphone	none
jacksonsmith.com.br ↗	62 match 2 shared topics	Engineering Blog of Jackson Smith	Brazil en	technology-and-computing	robotsllmsaihumans	emailphone	none
aaronrenner.io ↗	62 match 2 shared topics	Aaron Renner’s Blog \| Personal blog for Aaron Renner covering topics including Elixir, Software Architecture, and various tips and tricks picked up as a Senior Software Engineer.	en	technology-and-computing	robotsllmsaihumans	emailphone	none
iangrunert.com ↗	62 match 2 shared topics	Ian Grunert \| converting coffee into code	en	programming-languages	robotsllmsaihumans	emailphone	none
mydatasciencejourney.net ↗	62 match 2 shared topics	The Codesters Data Science Journey – Documenting the journey, the projects, the tears	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.