![]() You can also launch the Shortcuts app (and run shortcuts) using this module, but support for “native” Python shortcuts in the Shortcuts app is planned for a future version of Pythonista. The shortcuts module provides utilities for Pythonista URLs that can be used to launch the app, and run or open scripts. There’s now a keyboard module for running scripts from a special Pythonista keyboard.Īnd there’s a shortcuts module that does very little right now, but… Last week, an update appeared out of nowhere, and although the new features don’t address the app’s most serious weaknesses, there may be a light at the end of the tunnel. It’s still limping along with the clipboard and URL schemes (and a limited version of URL schemes, at that).īut there is hope for Pythonista. It’s greatest value as an automation tool now would be if it we could use it to handle the computation that Shortcuts really isn’t good at.Īs I mentioned in one of my ROT13 posts a few months ago, simple two-way communication with Shortcuts is essential nowadays to being a good iOS automation citizen, and Pythonista just doesn’t have it. Pythonista didn’t get worse during these years, but the world of iOS automation moved on and Pythonista didn’t move with it. And those years coincided with the ascent of Workflow/Shortcuts. In fact, Split View was the feature that got me to buy an iPad in the first place.Īs for automation, Pythonista has unfortunately moved from being a great app to being a frustrating one, largely because it sat around for a couple of years with no updates whatsoever. With Textastic on one side of Split View and Prompt on the other, I can edit scripts on my Mac and run them without having to be at my desk. I have, however, developed a workflow in which I do a fair amount of work on an iPad that’s being used largely as a smart terminal. 1īecause as nice as it is to have NumPy, SymPy, and Matplotlib, I really need Pandas and SciPy. It included Numpy, SymPy, and Matplotlib, which was a step in the right direction but not enough for me to be able to use it for most of my work. That changed slightly a few years ago when Pythonista 3 was released. When Pythonista came out several years ago, it was really good at the first thing but not so good at the second. My opinions on Pythonista and Pyto are informed by these uses. Here, I rely on several modules- NumPy, SciPy, Pandas, SymPy, Matplotlib-that are written mainly in other languages and have Python interfaces. ![]() Numerical and data analysis for my job.On iOS, it’s usually helpful to have specialty modules for connecting to the clipboard, the Photos library, calendars, and so on. On the Mac, the standard libraries are often all I need, and whatever added libraries become necessary are usually written in Python itself. Automation scripting for general computer use. ![]() Because Jupyter is kind of a separate category, I’ll leave discussion of these apps for another post.
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