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    Struggle creating local dev environment

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    • M
      magenta.kabuto @Vyacheslav_B last edited by

      HI @vyacheslav_b ,
      thx for your solution.
      I today tried Google Colab to train my NN and encountered the same problem as I couldnt get pandas to version 1.2.5. After implementing your suggested solution however, the occurs in the ml_backtester, all else equal.
      And wont this solution cause an error during submission anyways?
      Thank you
      Regards
      Bildschirmfoto 2024-03-24 um 04.35.14.png

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        magenta.kabuto @magenta.kabuto last edited by

        Hello @support ,
        could you pls fix the notebook you provide in local development of trading strategies for Google Colab.
        As this notebook has a pandas version mismatch and as long as I am not missing anything this should be the case for everyone.
        Pls inform me if it works fine for you, as I get data slicing error.
        Regards

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        • support
          support @magenta.kabuto last edited by

          @magenta-kabuto Dear magenta-kabuto, you can try again, it should have been fixed.

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            magenta.kabuto @support last edited by

            @support thx a lot. WIll try it now 🙂

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              magenta.kabuto @magenta.kabuto last edited by

              This post is deleted!
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                magenta.kabuto @magenta.kabuto last edited by

                This post is deleted!
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                  dark.pidgeot @support last edited by

                  @support Hi,
                  is it necessary to manually modify the qnt module before using it in colab?

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                    dark.pidgeot @support last edited by

                    @support b5b5f80e-7ff2-4bc1-963c-dcaf59af9816-image.png

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                      dark.pidgeot @dark.pidgeot last edited by

                      @dark-pidgeot Hi, i have the same probleme with the version of pandas

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                        magenta.kabuto @dark.pidgeot last edited by

                        HI @dark-pidgeot,
                        you need to install pandas=1.2.5 . In colab (cloud) it takes quite a bit of time, if you are working locally, it should be very quick.
                        Regards

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                        • V
                          Vyacheslav_B @dark.pidgeot last edited by

                          @dark-pidgeot Hi! After the release of version qnt “0.0.402” the issue with data loading in the local environment has been resolved. The library now uses newer dependencies, including pandas version 2.2.2.

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