Python Editor App vs. Carnets - Jupyter Utilizzo e statistiche

Introducing the ultimate Python editor for iOS! Our app offers a powerful and easy-to-use environment for coding in Python on your iPhone or iPad. Whether you're a beginner or an experienced developer, you'll love the intuitive interface and rich feature set that make coding a breeze. With our Python editor, you can create, edit, and run Python scripts right on your iOS device. The app supports syntax highlighting, auto-indentation, and code completion, making it easy to write error-free code. You can also access a library of pre-built snippets to speed up your coding, and create your own snippets for easy reuse. Our Python editor is designed to work seamlessly with iOS, so you can take advantage of all the great features of your device. You can use touch gestures to navigate your code, and split your screen to view your code and console at the same time. You can even run your scripts in the background while you do other things on your device. Privacy Policy: https://www.iubenda.com/privacy-policy/85758827 Terms of Service: https://www.apple.com/legal/internet-services/itunes/dev/stdeula

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Carnets - Jupyter

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. You can chose between Jupyter notebooks and the more advance Jupyterlab using Settings. Numpy, Sympy, Matplotlib, Pandas, lxml, bokeh, nbextensions (including ipywidgets) and many other packages are pre-installed. 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. If you need scipy, seaborn or scikit-learn, please use our other App, "Carnets - Jupyter (with scipy)". 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, cryptography, cvxopt, Fiona, geopandas, geopy, lxml, matplotlib, numpy, openCV, pandas, pillow, pyFFTW, pyproj, rasterio, regex, shapely, sympy, wordcloud.