Carnets - Jupyter (with scipy‪)‬ 17+

Jupyter notebooks, with scipy

Nicolas Holzschuch

    • Free



Jupyter notebooks (and jupyterlab), with scipy, seaborn and sklearn, running locally, on your device.

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 1.7.6

- fixes issues with on-screen user interaction
- updated Python version to 3.11
- updated packages to their latest version
- fixed several issues with "Download as..."
- fixed issues with Matplotlib and fonts
- Notebook and NbClassic now share the same JavaScript code
- Many bug fixes, including a bug introduced with 1.7.4 and Pandas.

Ratings and Reviews

5.0 out of 5
3 Ratings

3 Ratings

pasquale galianni ,

A great tool for data scientists

This app allowed me to code on my ipad with no compatibility issues. Even on a ipad air 3 is surprisingly fast. Highly recommended.

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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