Carnets - Jupyter (with scipy) Avis

Carnets Avis

Publié par on 2024-08-03

🏷️ 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.


       


Expérience client globale 😎


🤬 Négatif
66.7%

😎 Positif
33.3%

🫥 Neutre
0.0%

~ à partir de Justuseapp.com NLP'analyse de 16 revues de logiciels combinées.



Lire 4 Service client avis 😠💢

4.8 out of 5
Really cool !

A very nice tool, I use it a lot…

just one problem: when you place the focus in a big cell, the toolbar disappears...

Good but small buggs to be fixed

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 ??

Best app of the iOS market

Easy to use and with all functionalities needed for comp six students.

Amazing

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 !



Est Carnets Sûr? 🙏

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 16 avis d'utilisateurs provenant de l'Appstore et la note cumulative de l"Aappstore de 4.8/5 . Score de sécurité Justuseapp pour Carnets Est 33.3/100.


Est Carnets Légitime? 💯

Oui. Carnets - Jupyter (with scipy) est légitime, mais pas 100% légitime pour nous. Cette conclusion a été obtenue en passant 16 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 33.3/100..


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Caractéristiques

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.

  Contacter le support
Développeur:
Nicolas Holzschuch

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