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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Guide complet pour dépanner l'application Carnets sur les appareils iOS et Android. Résolvez tous les problèmes, erreurs, problèmes de connexion, problèmes d'installation et plantages de l'application Carnets.
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Nous comprenons que certains problèmes sont tout simplement trop difficiles à résoudre grâce à des didacticiels en ligne et à l'auto-assistance. C'est pourquoi nous avons facilité la prise de contact avec l'équipe d'assistance de Nicolas Holzschuch, les développeurs de Carnets.
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Developer: Not Flamingo Studio
Courriel: [email protected]
WebSite: Visiter le site Web de Carnets
You can write small snippets of Python code and observe the result on screen, combine with paragraphs of text, using Markdown. cette application provides a complete, stand-alone, implementation of Jupyter notebooks. Compared to the standard version (cette application), this app 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.