Carnets - Jupyter (with scipy‪)‬ 17+

Jupyter notebooks, with scipy

Nicolas Holzschuch

Designed for iPad

    • Free

Screenshots

Description

Jupyter Notebooks (with Jupyterlab): write Python code, run it, check the result, interactively. Everything is running locally on your iPad. Includes scipy and sklearn.

Jupyter notebooks are a powerful tool used in education and research. You can write small snippets of Python code and observe the result on screen, combine with paragraphs of text, using Markdown.

Carnets provides a complete, stand-alone, implementation of Jupyter notebooks. Everything runs on your device, using the embedded Python interpreter; you do not need an internet connection. Compared to the standard version (Carnets), this app adds several packages targeted for scientific computation and learning: scipy, sklearn, seaborn and coremltools. You can switch between standard notebooks and the more modern jupyterlab using the Settings app.

Of course, all the packages included with the standard app are present too: numpy, simply, matplotlib... To see the full list of installed packages, type "%pip list" in a code window. You can add more packages using "%pip install packageName", but only if they are pure Python.

You can share your notebooks with other apps and also open notebooks or directories managed by other apps.

Partial list of installed packages: astropy, babel, bokeh, cartopy, cryptography, cvxopt, Fiona, geopandas, geopy, gym, inequality, libpysal, lxml, mapclassify, matplotlib, networkx, nltk, numpy, openCV, pandas, parso, pillow, pyFFTW, pyproj, qutip, rasterio, regex, Rtree, scikit-learn, scipy, seaborn, segregation, shapely, soupsieve, spopt, statsmodels, sympy, wordcloud.

What’s New

Version 1.8.4

Do not show an alert about iCloud access if the user does not have an iCloud account.

Ratings and Reviews

5.0 out of 5
18 Ratings

18 Ratings

Fwah002 ,

Perfect for data science on the go

This app is fantastic! It has everything you need to do some quick data science on the go. It is perfect for uni and high school students who are getting into data science and statistics.

I hope they explain the libraries further, as well as maybe look into Jupiter Lab porting.

Zenhabit ,

Excellent.

I’ve been looking for a way to do basic mathematical and scientific work on my iPad for years. This works perfectly provided you’re not relying on any cython packages or similar (as far as I can tell, known limitation).

Cameron625 ,

Continuous Bug fixes

Love this app however when updated to iOS 15 there were a few bugs, these have now all been fixed.
Love the app, love the continued support.

App Privacy

The developer, Nicolas Holzschuch, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy.

Data Not Collected

The developer does not collect any data from this app.

Privacy practices may vary based on, for example, the features you use or your age. Learn More

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