• purple_cyborg

    There’s a really nice repo, which implements many different machine learning algorithms from scratch. I’ve been working on a Pythonista-friendly branch, removing dependencies that aren’t available in Pythonista. There are many examples too, including a variety of neural network implementations.

    I think the only supervised learning algorithm I’ve not managed to port (yet!) is SVM. Everything else work very nicely.

    Check it out here: ML-From-Scratch

    To install, clone the repo in Stash, checkout the pythonista branch and copy the mlfromscratch folder to site-packages. Restart Pythonista and have fun!

    posted in Pythonista read more
  • purple_cyborg

    Doesn’t seem like iPhone X issue. I just tested this on mine, trying different combinations of buttons and options. All works fine for me

    posted in Pythonista read more
  • purple_cyborg

    Any word on when we can expect an update for Pythonista? I’m checking the App Store daily at the moment, hoping it’s gonna happen pretty soon. I love this app and have been a fan from the start, but right now it doesn’t look good on iPhone X, at all.

    If additional beta testers for the iPhone X would be helpful, then I would like to volunteer. I use Pythonista on a daily (sometimes hourly) basis!

    Thanks

    Johan

    posted in Pythonista read more
  • purple_cyborg

    In the absence of pandas, I previously used agate to do some basic analysis. The gist below shows an example of creating a test dataset of employee data, constructing a data table and assigning each record to a random group according to a specific frequency distribution. A summary table is then produced to provide some descriptive salary statistics.

    This was a start for a Monte Carlo simulation model. I completed the rest of the project using pandas on my Mac

    Link to the gist

    posted in Pythonista read more
  • purple_cyborg

    @ccc that's exactly it. You seem surprised 😁

    posted in Pythonista read more
  • purple_cyborg

    @Matteo you can't. The location where the original packages are stored is read-only

    posted in Pythonista read more
  • purple_cyborg

    Installing with pip install does work over the packages that come with Pythonista. Packages in your Documents/site-packages folder take precedence. In the example above, the sympy version returned is 1.0

    posted in Pythonista read more

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