html+css+js vs Carnets

This is a learning tool for efficient HTML, CSS, and JS learning, fast programming, local execution, Git retrieval, iCloud storage, efficient transfer and sharing via LAN HTTP/FTP multi-point connections. (^.^) It aspires to help you who want to learn, develop, and improve! !!!(^.^) (^.^) Read a variety of learning materials at your leisure and run examples while learning, making it easy to understand and efficient. (^.^) Use code templates, autocomplate, auto-indentation, code coloring, symbol completion, a symbol keyboard, text search, multi-file search, multi-line indentation, and multi-line comments to make development more convenient. (^.^) Access iCloud easily and synchronize across multiple devices for efficient collaboration. (^.^) Retrieve source code projects from GitHub with Git. (^.^) Efficiently transfer files via LAN or Bluetooth connections via HTTP/FTP multi-point connections. (^.^) Find learning materials easily through the built-in browser. Simply select code in the built-in browser to run it. (^.^) Open file formats like txt, pdf, chm, mp3, m4v, zip, gif, png, html, py, doc, etc. easily through the file system. (^.^) Adjust code color, font size, and line spacing for a more comfortable reading experience. (^.^) Customize background images and colors, text color and shadow, text font, text size, background animation, interface transition animation, the number and order of tabs on the main interface to create your own personalized learning software. (^.^) Generate QR codes for HTML, CSS, and JS scripts and learning materials, and scan them to access them. (^.^) Share HTML, CSS, and JS scripts and learning materials via email, Weibo, Twitter, and Facebook. Code templates - The contents of a new file will copy the contents of the code template.

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.