GitNotebooks
Pyto
Koder Code Editor
Juno Connect
Buffer Editor
GoCoEdit
Satyrn
Thread is a Jupyter Notebook that combines the experience of OpenAI's code interpreter with the familiar development environment of a Python notebook.

Invent With Python
Learn Python The Hard Way
Pyto
vscode.dev
One Month Python
Google's Python Class
Mode Python Notebooks
Bring the Zen of Python to iOS.
Which is more popular?
Based on our record, Pythonista seems to be more popular. It has been mentioned 11 times since March 2021.
Website, pricing, platforms and company facts side by side.
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What each product offers, as listed by its team.

No features have been listed yet.
Possible disadvantages
Walkthroughs and reviews on video.
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Writing Python on iPad using Pythonista! In-Depth Review + Is it Worth it?
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How often each product is chosen within a category, 0–100% relative to the other.

Share your experience with using thread.dev and Pythonista. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.

Tracking thread.dev since Sep 2024.
Pythonista is nicer but ships older Python: https://omz-software.com/pythonista/ Pyto is maybe less approachable but more up to date, with clang compiler and LLVM bitcode interpreter: https://pyto.app/ Juno is Python notebooks:... - Source: Hacker News / over 2 years ago
There are a few Python environments for iOS, and I'm sure Android also has some. Pythonista is probably one of the better ones. http://omz-software.com/pythonista/. - Source: Hacker News / over 3 years ago
Haven't tried it, but there's Pythonista. You can also use a remote terminal like blink shell and ssh into a tmux session. I also haven't tried this, either. Source: over 4 years ago
When comparing thread.dev and Pythonista, you can also consider the following products.

Learn to program Python for free
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Koder Code comes with Syntax highlighting for PHP, HTML, CSS, JavaScript, SQL, JavaScript, Delphi, Visual Basic, Diff, Erlang, Groovy, Powershell, Latex, Scala etc.
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Connect to Jupyter servers and cloud-computing services from your iPad or iPhone
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