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You can write small snippets of Python code and observe the result on screen, combine with paragraphs of text, using Markdown. diese App provides a complete, stand-alone, implementation of Jupyter notebooks.  Compared to the standard version (diese App), 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.