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Viewing profile — joelschw

joelschw

HN member
Joined
Tue, Nov 26, 2013, 9:20 AM UTC
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128
Public activity
52 items

About joelschw

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Recent public activity

  1. comment
    Comment #48716578

    No this is a composability surface, Flyte is their workflow engine for durable execution etc

  2. comment
    Comment #47603284

    PhysicsX | Principal AI Engineer | London / NY / Remote | Full time | physicsx.ai We're building an AI-native platform that turns physics simulations from days-long jobs into milli…

  3. comment
    Comment #47046195

    You could also use braintrust here https://github.com/braintrustdata/braintrust-claude-plugin

  4. comment
    Comment #45874068

    January 6th was so egregious, I'm really not sure why they felt the need to exaggerate it.

  5. comment
    Comment #41391282

    Huge fan of Ibis, the value isn't that you can now use DuckDB... it's that your syntax will work when the next cool thing arrives too

  6. comment
    Comment #39754362

    Or you use Ibis and switch between the two at will!

  7. comment
    Comment #37671947

    I'd put this in the readme!

  8. comment
    Comment #37671558

    Big fan of evidence, really elegant design. There is also space for both declarative and imperative approaches when it comes to dashboarding / reporting etc.

  9. story
  10. comment
    Comment #36631551

    The native GitHub feature in preview will make this a lot better for those able to use it https://github.blog/changelog/2023-03-01-feature-preview-ric...

  11. comment
    Comment #34160155

    Whilst I hate it - Jinja is so much more accessible for SQL coders.

  12. comment
    Comment #31476852

    I'm not sure it's framed like that, it's specifically talking about production patterns

  13. comment
    Comment #30168461

    If git did it...

  14. comment
    Comment #30043967

    Some similar concepts, but Kedro is specialised on the ML engineering workflow and team collaboration

  15. comment
    Comment #30040816

    Here you go - https://kedro.readthedocs.io/en/0.17.6/09_development/03_com...

  16. comment
    Comment #30040411

    Will point to some experiences open source users have had on this journey https://medium.com/hacking-talent/production-code-for-data-s... https://medium.com/google-cloud/migrate-ke…

  17. comment
    Comment #30039984

    Some users have reported the Targets library is similar for that ecosystem

  18. comment
    Comment #30039419

    Kedro sort of fits into a niche where it just overlaps somewhat with 'orchestrators' like Prefect, Metaflow, Dagster, Airflow and others. What makes it slightly different is that i…

  19. comment
    Comment #30038237

    I should clarify by short term - the foreseeable future is a more appropriate description

  20. comment
    Comment #30038117

    Hello maintainer here - hopefully some of our open source users chime in, but my favourite will always be NASA: https://github.com/nasa/ML-airport-configuration Donation is the nor…

  21. comment
    Comment #30012177

    Kedro is an open-source Python framework for creating reproducible, maintainable and modular data science code. It borrows concepts from software engineering best-practice and appl…

  22. story
  23. comment
    Comment #29591861

    It's for interactive sessions not background ones

  24. comment
    Comment #29522092

    Are there any frameworks for avoiding premature optimisation? I'm looking for some content to share with some new teams.

  25. comment
    Comment #29227358

    How do you compare yourselves to Monte Carlo Data?