🏷️ À propos: 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.
par AlboardK
Hi I am super happy to discover this very handy app.
Sometimes it just doubles my entire line of code when I add one character … very annoying I have to close and relaunch the app,and notebook to make it desappear …
Do you have a solution ??
par Richnou Richnou
A very nice tool, I use it a lot…
just one problem: when you place the focus in a big cell, the toolbar disappears...
par Hugo Le Beauf
Easy to use and with all functionalities needed for comp six students.
par Nayrhode
This app is a life saver ! Both my laptop and computer died recently so I only have my iPad left and I can now continue my work using SciPy thanks to this amazing app. Thanks a lot for this great work !
Oui. Carnets - Jupyter (with scipy) est calme, sûr à utiliser mais à utiliser avec prudence. Ceci est basé sur notre analyse NLP (Traitement du langage naturel) de plus de 14 avis d'utilisateurs provenant de l'Appstore et la note cumulative de l"Aappstore de 4.7/5 . Score de sécurité Justuseapp pour Carnets Est 33.5/100.
Oui. Carnets - Jupyter (with scipy) est légitime, mais pas 100% légitime pour nous. Cette conclusion a été obtenue en passant 14 Carnets - Jupyter (with scipy) avis d'utilisateurs via notre processus d'apprentissage automatique NLP pour déterminer si les utilisateurs croient que l'application est légitime ou non. Sur cette base, Justuseapp Score de légitimité pour Carnets Est 56.7/100..
Carnets - Jupyter (with scipy) fonctionne la plupart du temps. Si cela ne fonctionne pas pour vous, nous vous recommandons de faire preuve de patience et de réessayer plus tard ou Contacter le support.
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.
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.
Compared to the standard version (Carnets), this app adds several packages targeted for scientific computation and learning: scipy, sklearn, seaborn and coremltools.
You can write small snippets of Python code and observe the result on screen, combine with paragraphs of text, using Markdown.
You can switch between standard notebooks and the more modern jupyterlab using the Settings app.
You can add more packages using "%pip install packageName", but only if they are pure Python.
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.
Carnets provides a complete, stand-alone, implementation of Jupyter notebooks.
Jupyter notebooks are a powerful tool used in education and research.
