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Eric J. Ma

Personal blog · ericmjl.github.io/blogdataai

Eric J. Ma writes Welcome!, a personal blog at ericmjl.github.io about data and ai. Since 2021, 10 different Hacker News readers have linked it 11 times. No feed was found, so read it on the site itself.

No feed foundVisit the blog
11mentions?
10HN people?
2021–2026first – last linked?
Links on Hacker News per year · peak 2 in 2021

Too few sampled comments (2) to say how often HN recommends it.?

Why HN links it

HN readers link Eric J. Ma's blog for Python and NumPy posts with an interactive in-browser REPL and visible code. One commenter calls him a terrific tech evangelist.

Summarised by Claude from a sample of 2 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

What Hacker News says?

  1. grej · 2022-05-01Recommends
    Theres a ton of potential here to expand the horizon by helping solve Python’s deployment challenges. I saw an interesting blog post today already that starts to get at the potential. The author, Eric Ma, interweaves python and numpy code throughout his blog post and provides an interactive REPL for the user to try it themselves, and all the code is visible in the view source for the page. https://ericmjl.github.io/…

    Comment linking /blog/2022/5/1/pyscript-python-in-the-web-browser/

    on “New from Anaconda: Python in the Browser”
  2. Submitted Dynamically patch a Python function's source code at runtime as a story · 157 points

    HN discussion
  3. What about him? It's that he's a model tech evangelist. Who else? When I was paying attention, I thought Addy Osmani was good, https://addyosmani.com/blog/ . Eric J. Ma, https://ericmjl.github.io/ , is terrific, though I don't know that he would describe him self that way. Hadley Wickham, https://hadley.nz/ , for me would be the gold standard.

    Comment linking /

    on “Guy Kawasaki”
  4. Submitted An attempt at demystifying graph deep learning as a story · 87 points

    HN discussion
  5. Submitted Disposable Python environments for ad-hoc analyses as a story · 12 points

    HN discussion
  6. Submitted What candidates can and cannot control in their job hunt as a story · 4 points

    HN discussion
  7. Submitted Dissecting the ESM3 Model Architecture as a story · 2 points

    HN discussion
  8. Submitted Benchmarking LLMs with Marimo Pair as a story · 1 points

    HN discussion
  9. Submitted You Can Just Make Stuff with OpenCode and Claude Opus 4.5 as a story · 1 points

    HN discussion
  10. Submitted LlamaBot with Ollama on my home virtual private network as a story · 1 points

    HN discussion
  11. Submitted Network Analysis Made Simple as a story · 1 points

    HN discussion

Search all of HN for ericmjl.github.io