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!

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

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

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

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

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

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

@scj643 Awesomeness