Python 101 #10: Putting it all together!

Поделиться
HTML-код
  • Опубликовано: 2 фев 2025

Комментарии • 23

  • @christopherhanson9351
    @christopherhanson9351 3 года назад +2

    Your videos are wonderful, I really appreciate them. I didn't think I could learn Python fundamentals easily but your instructions, especially showing the similarity of functions to those in Excel, has given me a great start. Thanks for the detailed videos!

    • @AussieBIMGuru
      @AussieBIMGuru  3 года назад +1

      Glad to hear the series helped get you started and with ease too!

  • @katiebrowne8148
    @katiebrowne8148 2 года назад +1

    Very helpful tutorials, thanks!

  • @kslifter1
    @kslifter1 2 года назад +1

    Thanks for sharing!

  • @Rolfalliv18
    @Rolfalliv18 4 года назад +1

    Very helpful series! Thank you.

  • @tadeh1
    @tadeh1 4 года назад

    Great stuff as usual. Hopefully content like this will move more people towards coding with examples that are easy to follow but establish rules on multiple lines to make the code work.

  • @vu_derArchitekt
    @vu_derArchitekt 4 года назад +1

    I can not import numpy in python inside grasshopper

    • @AussieBIMGuru
      @AussieBIMGuru  4 года назад +1

      It isn't present by default, but GHRemote allows you to run external packages;
      www.food4rhino.com/app/gh-python-remote

  • @mohamedkhallaf
    @mohamedkhallaf 4 года назад +1

    Thank you very much for your great efforts. I am wondering if you could teach us how can we optimize an area in a floor plan (space planning) using Dynamo (generative design option)
    Again, many thanks mate

    • @AussieBIMGuru
      @AussieBIMGuru  4 года назад +1

      I hope to get to gen design eventually, probably once the tool is improved a bit. In what way would you want to optimize the rooms?
      It would mostly be actually a dynamo excercise.

    • @mohamedkhallaf
      @mohamedkhallaf 4 года назад +1

      @@AussieBIMGuru Thank you very much for your respond. Well, we can start with a small house that includes 1 Master bedroom, 1 bedroom, 1 bathroom and a living room. We can assume that the master bedroom area is from 20-meter square to 25-meter square, the other bedroom is from 12 to 18-meter square, and so on. and the total area is 150 meter-square for example. What do you think?
      Again, I really appreciate your time and efforts to teach us. Your way of teaching is fantastic.

    • @AussieBIMGuru
      @AussieBIMGuru  4 года назад

      Hrm it really depends on how you optimize the criteria. Generative design is about programming a flexible space layout them optimizing critetia to find the most successful option (e.g. how far from my living room is my bedroom, what are the room proportions, does it fit on the site etc.). It can't tell us what is the best option unless we program it to at the end of the day.

    • @mohamedkhallaf
      @mohamedkhallaf 4 года назад +1

      @@AussieBIMGuru You are right. So can you please teach us how to use Dynamo (generative design or Refinery) to generate alternative designs options. I believe we will learn a lot from this like how can we make the rooms' wall perpendicular or one wall 45 degrees for example.

    • @mohamedkhallaf
      @mohamedkhallaf 4 года назад +1

      Sorry for interrupting you again, I have found a video showing what I meant ruclips.net/video/-fvXtdnKDfI/видео.html

  • @immi85
    @immi85 4 года назад +1

    i wish this video will continue go further 😊.
    already chosen pathway 😃
    again thank you very much,
    god bless you.

    • @AussieBIMGuru
      @AussieBIMGuru  4 года назад +1

      You're welcome immi, thanks for your support and questions along the way! More to come in Dynamo Python in 2 weeks time!

  • @alitalebi5198
    @alitalebi5198 4 года назад +1

    you are great ,Please teach more from Python

    • @AussieBIMGuru
      @AussieBIMGuru  4 года назад

      Thanks Ali, I'll be moving into Python for Dynamo in 2 weeks. My fundamental knowledge of Python itself doesn't extend too much further though yet, just a bit of numpy/pandas/matplotlib/regex.