Carnets vs Python & SQL Pro

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.

A reference of everyday Python, from strings and collections to threading and design patterns. Every example is written out in full and explained. • 22 sections: simple types, arrays and collections, classes, files, serialization, functions and lambdas, exceptions, regular expressions, threading, databases, algorithms, patterns. • Run in the app: the example really executes and the output appears under the code. Needs an internet connection; the daily limit is 30 launches. • What changed in new versions: eight sections from Python 3.0 to 3.13, with "before" and "after" code side by side. • Keyword and function reference: 203 articles, browsable as a list and searchable. • SQL alongside: 243 queries against a live practice database - JOIN, GROUP BY, subqueries, data types. Queries have their own daily count. • Edit any example and run it again; one tap brings the original back. • Add your own examples - they are kept in the app and always at hand. • Search by section name or by a fragment of code. • Everything except running works offline: examples, search, favourites. No account needed. • Light and dark themes, font and size, line numbers, soft wrapping. Every example is picked from trusted sources and thoroughly tested. Made by a developer for developers. In development since 2015.