Carnets - Jupyter (with scipy)
Nicolas Holzschuch
4.5 ★
81 ratings
Free
In this app, you can create and run Jupyter notebooks locally with embedded Python packages for scientific computing. Includes support for package management, multiple interfaces, and notebook sharing.
AppRecs review analysis
AppRecs rating 4.5. Trustworthiness 74 out of 100. Review manipulation risk 22 out of 100. Based on a review sample analyzed.
★★★★☆
4.5
AppRecs Rating
Ratings breakdown
5 star
78%
4 star
10%
3 star
6%
2 star
0%
1 star
6%
What to know
✓
Low review manipulation risk
22% review manipulation risk
✓
Credible reviews
74% trustworthiness score from analyzed reviews
✓
High user satisfaction
78% of sampled ratings are 5 stars
About Carnets - Jupyter (with scipy)
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.
Carnets provides a complete, stand-alone, implementation of Jupyter notebooks. Everything runs on your device, using the embedded Python interpreter; you do not need an internet connection. Compared to the standard version (Carnets), 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.
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. You can add more packages using "%pip install packageName", but only if they are pure Python.
You can share your notebooks with other apps and also open notebooks or directories managed by other apps.
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.
Carnets provides a complete, stand-alone, implementation of Jupyter notebooks. Everything runs on your device, using the embedded Python interpreter; you do not need an internet connection. Compared to the standard version (Carnets), 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.
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. You can add more packages using "%pip install packageName", but only if they are pure Python.
You can share your notebooks with other apps and also open notebooks or directories managed by other apps.
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.
