Carnets

How to Delete Carnets. save (1.52 GB)

Published by Nicolas Holzschuch on 2024-03-10

We have made it super easy to delete Carnets - Jupyter (with scipy) account and/or app.

Guide to Delete Carnets - Jupyter (with scipy) 👇

Things to note before removing Carnets:

  1. The developer of Carnets is Nicolas Holzschuch and all inquiries must go to them.
  2. Check the Terms of Services and/or Privacy policy of Nicolas Holzschuch to know if they support self-serve subscription cancellation:
  3. The GDPR gives EU and UK residents a "right to erasure" meaning that you can request app developers like Nicolas Holzschuch to delete all your data it holds. Nicolas Holzschuch must comply within 1 month.
  4. The CCPA lets American residents request that Nicolas Holzschuch deletes your data or risk incurring a fine (upto $7,500 dollars).


Data Carnets Collected from You 🔏
  1. Data Not Collected: The developer does not collect any data from this app.

     

↪️ Steps to delete Carnets account:

1: Visit the Carnets website directly Here →

2:   Contact Carnets Support/ Customer Service:

  1. 10.53% Contact Match
  2. Support channel
  3. Vist Terms/Privacy


Deleting from Smartphone 📱


Delete on iPhone:


  1. On your homescreen, Tap and hold Carnets - Jupyter (with scipy) until it starts shaking.
  2. Once it starts to shake, you'll see an X Mark at the top of the app icon.
  3. Click on that X to delete the Carnets - Jupyter (with scipy) app.

Delete on Android:


  1. Open your GooglePlay app and goto the menu.
  2. Click "My Apps and Games" » then "Installed".
  3. Choose Carnets - Jupyter (with scipy), » then click "Uninstall".

Have a Problem with Carnets - Jupyter (with scipy)? Report Issue




🎌 About Carnets - Jupyter (with scipy)


1. 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.

2. 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.

3. Compared to the standard version (Carnets), this app adds several packages targeted for scientific computation and learning: scipy, sklearn, seaborn and coremltools.

4. You can write small snippets of Python code and observe the result on screen, combine with paragraphs of text, using Markdown.

5. You can switch between standard notebooks and the more modern jupyterlab using the Settings app.

6. You can add more packages using "%pip install packageName", but only if they are pure Python.

7. Everything runs on your device, using the embedded Python interpreter; you do not need an internet connection.

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

9. Carnets provides a complete, stand-alone, implementation of Jupyter notebooks.

10. Jupyter notebooks are a powerful tool used in education and research.



Alternative apps you can try: