Python Editor App vs Carnets - Jupyter Uso e estatísticas

Introducing the ultimate Python editor for iOS! Enjoy a powerful, easy-to-use environment for coding in Python right from your iPhone or iPad. Whether you’re new to coding or an experienced developer, you’ll love the intuitive interface and feature-packed design that makes programming simple and efficient. With our Python editor, you can create, edit, and run Python scripts directly on iOS. Features include syntax highlighting, auto-indentation, and code completion, helping you write clean, error-free code. A built-in library of reusable snippets—plus the option to create your own—makes development faster than ever. Designed to take full advantage of iOS, the app supports Liquid Glass API for a fluid, responsive coding experience, along with multi-window support, letting you work on multiple files or scripts side by side. Use touch gestures to navigate, split your screen to view code and console simultaneously, and keep scripts running in the background while you multitask. And now, with the integrated OpenAI Code Assistant, you can generate, refine, and debug Python code with AI-powered suggestions—directly inside the editor. After a 3-day free trial, a subscription unlocks the complete experience: - OpenAI Integration (with your API key) - OpenAI Code Assistant - Liquid Glass API & Multi-window support - Editor customization - Beautiful themes - Complete Python guidebook - Python learning resources 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.