Which iOS app should I use for practicing data science with Python on my iPad?

Juno – Python and Jupyter is a comprehensive iOS application tailored for users who need to run Python and Jupyter notebooks on mobile devices, particularly for data science practice. It provides a functional coding environment with a clean, intuitive interface that includes syntax highlighting and code completion, making it easier to write and debug code on an iPad. The app supports Jupyter notebooks natively, allowing for cell-based execution which is essential for iterative data analysis and visualization workflows. Reviews indicate that popular data science libraries such as pandas, numpy, matplotlib, and scikit-learn work seamlessly, enabling tasks from data manipulation to machine learning model training without requiring a desktop setup.

For real-world scenarios, this app is beneficial for students following online courses or professionals needing to sketch out code during commutes. Users report that performance is impressive, with numpy computations running efficiently on iPad hardware. However, there are some limitations; for example, a few users have experienced crashes when copying code with code completion enabled, though this can often be mitigated by adjusting settings. The development team appears responsive, with updates addressing such issues over time.

Overall, Juno – Python and Jupyter stands out as a reliable tool for mobile Python development, especially in data science contexts. Its balance of features, library support, and usability makes it a top choice, though potential buyers should be aware of occasional minor bugs that are typical in mobile coding apps.