🏷️ 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.
A very nice tool, I use it a lot…
just one problem: when you place the focus in a big cell, the toolbar disappears...
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 ??
Easy to use and with all functionalities needed for comp six students.
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 !
Carnets - Jupyter (with scipy) paraît généralement sûre, mais utilisez-la avec prudence.
Score de sécurité JustUseApp pour Carnets : 33.8/100.
Cette évaluation se base sur notre analyse NLP de 21 avis d’utilisateurs.
Combinée à la note moyenne du store de 4.7/5.
Carnets - Jupyter (with scipy) paraît fiable, mais prudence.
Nos modèles NLP estiment la fiabilité. Score de fiabilité JustUseApp pour Carnets est 33.8/100.
Cette conclusion se fonde sur l'analyse de 21 avis d’utilisateurs.
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.
