It also sports a similar user interface style to the classic browser-based Jupyter, which may be more appealing to some users. Much like Juno, Carnets supports many of your favourite libraries, and supports external library extensions. I can say that it is worth every penny, but if you are not looking for a paid Jupyter Notebook IDE, do check out the popular alternative on the App Store: Carnets. This means that libraries can be installed from the web straight into the Juno client, however not all libraries are fully supported in the Juno IDE, so take this information with a pinch of salt.Īs great as all of this functionality is, it does however come at a hefty price of £14.99. Juno also has the ability to import external libraries for use within the IDE itself, and if no libraries can be installed, the extensions folder is accessible through the Files app on your iOS device. This is an exceptionally great tool not only for data science, but for python tasks in general, due to being fast and responsive, as well as being able to read notebook files from external file locations such as Dropbox, OneDrive, and even Adobe Creative Cloud! It boasts a clean and easy to use UI with full keyboard shortcut support for the iPad Pro’s magic keyboard, as well as all the functionality that you would expect to receive from any ordinary Jupyter notebook platform. Currently, it has support for many popular data science libraries such as NumPy, MatPlotLib, Seaborn, and Pandas, as well as upcoming support for Scikit Learn and Tensorflow. ipynb files (Jupyter Notebooks) right from the comfort of your iPad. Juno is a clean, powerful and fully supported iOS application for displaying and editing. This leads us to our first iPad app: Juno. Being an aspiring mathematician, I knew that this area of statistics would satisfy my interest for both mathematics and programming, so what better a way to use my knowledge of Python than to use Jupyter Notebooks to start learning how to use it for data science. Part of the Mathematics syllabus at my university involves Statistics, a subject I was never particularly fond of until I discovered its true potential with Python’s data science and machine learning libraries. In this article I aim to highlight some of the most practical IDEs for python development on the iPad, and hopefully you’ll end up adding one of the programs in this list to your development tool belt. It also meant that I could spend hours trying to figure out the solutions to each weeks problem set without having to waste a single sheet of paper!Īs I became more and accustomed to using the iPad as a virtual notepad, I decided to put it to the test and use it as my go to software development tool at the beginning of the summer holiday, and I haven’t been able to stop using it since! Since I chose to study Mathematics at university, I ended up investing in Apple’s iPad Pro at the beginning of the year, so that combined with the Apple Pencil, I would be able to quickly make notes during lectures and then spend a few minutes effortlessly neatening them up in the library afterwards. Having finished my first year at university, and being left with very little to do this summer, I eventually found myself diving back into the wonders of the programming world, teaching myself languages such as Python and JavaScript, and building fun little tools with them along the way.
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