Code App vs Carnets

Code App is a MIT-licensed desktop-class code editor for iPadOS with built-in Node.js, Python, C, C++, PHP and Java runtime. We built it because there is nothing else on the App Store provides all these features in one app: * A robust, high-performance text editor (Monaco Editor from Visual Studio Code) * Autocomplete, static code analysis and other language features for Python & Java * First class local file system support * Extensive local language support * SSH / FTP remote connection support (Files and terminal) * Embedded emulated terminal * Git Version Control * Package manager support (pip and npm) * Markdown, themes, server-side snippet execution and more Read Code App's documentation: code.thebaselab.com See the project's source code, roadmap, discussion on GitHub: github.com/thebaselab/codeapp Send us an email: support@thebaselab.com Privacy Policy: thebaselab.com/privacypolicies Terms of Use (EULA): www.apple.com/legal/internet-services/itunes/dev/stdeula/

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.