Plotting database tables using SQLAlchemy automap, Flask, htmx and Chart.js

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  • Опубликовано: 10 янв 2025

Комментарии • 13

  • @MichaelAbrahamsen
    @MichaelAbrahamsen 3 года назад +6

    Thanks for putting this together. This is a really great overview of how HTMX and Automap can be used

    • @pybob
      @pybob 3 года назад

      Thanks Michael, glad you liked it and thank you for mentioning automap the other day :)

  • @andrewmcphail784
    @andrewmcphail784 3 года назад +5

    I love HTMX and didn't know about the SQLAlchemy Automap feature. Mind officially blown. Thank you for a great video!

    • @pybob
      @pybob 3 года назад

      Happy to hear, thanks Andy, stay tuned for another practical htmx guide about infinite scroll in combination with SQLModel, later this week ...

  • @norbertocammayo2334
    @norbertocammayo2334 Год назад +2

    Thank you. Please share your vim setup and workflow.

    • @Pybites
      @Pybites  Год назад

      Good idea, scheduling a vim one in ... thanks

    • @Pybites
      @Pybites  Год назад

      Done! ruclips.net/video/B9tZyFXr1Yw/видео.html

  • @TheZemzen
    @TheZemzen Год назад +1

    Very useful things for developing. Thanks dude.

    • @Pybites
      @Pybites  Год назад

      You are welcome.

  • @pietraderdetective8953
    @pietraderdetective8953 Год назад +2

    This is awesome!
    Do you have more videos about similar topics? Chart.JS + Flask + DB

    • @Pybites
      @Pybites  Год назад +1

      Using more Django + FastAPI, but we also did a blog post about chart.js, it's so easy to set up: pybit.es/articles/how-to-make-a-nice-graph-using-django-and-chart-js/

  • @christophertyler1882
    @christophertyler1882 3 года назад +2

    Looks very interesting. I haven't done much with Flask or SQLAlchemy (finally starting to understand classes). Looking at auto_map it looks like I can join multiple tables. If so, I can see I definite use for this at work, thanks!

    • @Pybites
      @Pybites  3 года назад

      I expect joins to work as per regular SQLAlchemy operations but I have not tried that yet. Thanks for your feedback, glad to hear you found it useful / applicable.