Latest Version
1.8.4
December 11, 2024
Nicolas Holzschuch
Developer Tools
iOS
1.6 GB
0
Free
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More About Carnets - Jupyter (with scipy)
Jupyter notebooks are a popular tool used in education and research that allows users to write small snippets of Python code and see the results on screen. These notebooks also allow for the combination of code and text using Markdown.
Carnets is an application that provides a complete, stand-alone implementation of Jupyter notebooks. This means that everything runs on the user's device and does not require an internet connection. In addition to the standard version, Carnets also includes several packages specifically designed for scientific computation and learning, such as scipy, sklearn, seaborn, and coremltools. Users can also switch between standard notebooks and the more modern jupyterlab using the Settings app.
The app also includes all the packages that come with the standard version, such as numpy, simply, and matplotlib. Users can view the full list of installed packages by typing "%pip list" in a code window. They can also add more packages using "%pip install packageName", as long as they are pure Python.
Carnets allows users to share their notebooks with other apps and also open notebooks or directories managed by other apps. This makes it easy for users to collaborate and work with others.
Some of the packages included in Carnets are astropy, bokeh, cartopy, cryptography, cvxopt, geopandas, nltk, numpy, pandas, scikit-learn, scipy, seaborn, statsmodels, and sympy. Users can also add more packages if needed, as long as they are pure Python.
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.
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