Carnets app not working? crashes or has problems?

Carnets Status

Published by on 2024-02-08

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.


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Common dislikes about Carnets app

- No Tensorflow-macos/Tensorflow-metal and torch support

- No miniforge conda environment support

- No solar system integration support

- Risk of losing work

- Installation issues on iPhone XS

- Failure to import matplotlib after update.



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Common Carnets Problems & Solutions. Troubleshooting Guide


   



  Contact Support

Some issues cannot be easily resolved through online tutorials or self help. So we made it easy to get in contact with the support team at Nicolas Holzschuch, developers of Carnets.


10.53% Contact Match

Developer: Not Flamingo Studio

E-Mail: [email protected]

Website: Visit Carnets Website



About this app

You can write small snippets of Python code and observe the result on screen, combine with paragraphs of text, using Markdown. this app provides a complete, stand-alone, implementation of Jupyter notebooks.  Compared to the standard version (this app), Carnets 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.  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.  Of course, all the packages included with the standard app are present too: numpy, simply, matplotlib...  Everything runs on your device, using the embedded Python interpreter; you do not need an internet connection.  You can share your notebooks with other apps and also open notebooks or directories managed by other apps.  Jupyter notebooks are a powerful tool used in education and research.  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. 



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