Published by Nicolas Holzschuch on 2024-04-29
1. Partial list of installed packages: astropy, babel, bokeh, cryptography, cvxopt, Fiona, geopandas, geopy, lxml, matplotlib, numpy, openCV, pandas, pillow, pyFFTW, pyproj, rasterio, regex, shapely, sympy, wordcloud.
2. Numpy, Sympy, Matplotlib, Pandas, lxml, bokeh, nbextensions (including ipywidgets) and many other packages are pre-installed.
3. You can write small snippets of Python code and observe the result on screen, combine with paragraphs of text, using Markdown.
4. You can chose between Jupyter notebooks and the more advance Jupyterlab using Settings.
5. If you need scipy, seaborn or scikit-learn, please use our other App, "Carnets - Jupyter (with scipy)".
6. Carnets provides a complete, stand-alone, implementation of Jupyter notebooks.
7. Everything runs on your device, using the embedded Python interpreter; you do not need an internet connection.
8. To see the full list of installed packages, type "%pip list" in a code window.
9. You can add more packages using "%pip install packageName", but only if they are pure Python.
10. You can share your notebooks with other apps and also open notebooks or directories managed by other apps.
11. Jupyter notebooks are a powerful tool used in education and research.
12. Liked Carnets? here are 5 Developer Tools apps like Juno Connect: Jupyter Client; Juno: Jupyter/Python IDE; Carnets - Jupyter (with scipy); GitHub;
Or follow the guide below to use on PC:
Select Windows version:
Install Carnets - Jupyter app on your Windows in 4 steps below:
Download a Compatible APK for PC
Download | Developer | Rating | Current version |
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Get APK for PC → | Nicolas Holzschuch | 4.58 | 1.8.4 |
For Windows 11, check if there's a native Carnets Windows app here » ». If none, follow the steps below:
Minimum requirements | Recommended |
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Get Carnets on Apple macOS
Download | Developer | Reviews | Rating |
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Get Free on Mac | Nicolas Holzschuch | 281 | 4.58 |
Download on Android: Download Android
Absolutely awesome
Amzaing app
Great App, could use split view
Awesome