Pythona vs Python Code App

Run Python — and large language models, fully on-device — right on your iPhone and iPad. Pythona is a full-featured Python 3.14 IDE that brings real scientific computing, notebooks, and local AI to your device. Jupyter-style notebooks Write and run Python in cells, just like Jupyter — charts, tables, images, and math render inline. Open, edit, and save .ipynb files to run data analysis and experiments anywhere. On-device AI & machine learning Run large language models entirely on-device with MLX, Apple's ML framework for Apple Silicon — inference runs locally, no API keys required. Try the included local LLM demo to get started in seconds. Scientific computing, preinstalled NumPy, SciPy, scikit-learn, Pandas, Matplotlib, OpenCV and more come precompiled and ready to import. A local Python environment - Python 3.14 with popular libraries - Smart, fast code completion - Syntax highlighting for many languages (JavaScript, C, Rust, Go, HTML, CSS, Shell, and more) - Markdown file preview - Create, save, and organize your scripts, and install more pure-Python packages via the built-in package manager Whether you're prototyping ML ideas, running data analysis, or learning Python on the go, Pythona puts a genuinely capable Python environment in your pocket.

Python Code App is a Python IDE and editor for iPhone and iPad. It helps you write code, run scripts, learn Python, and manage local projects with a workflow designed for mobile devices. Whether you are learning Python, writing everyday scripts, testing snippets, or exploring examples on the go, Python Code App gives you a faster and more focused mobile coding experience. Core features include: - Writing, editing, and running Python scripts - Viewing runtime output and results - Starting quickly with built-in examples - Organizing local files and lightweight projects - Handling common scripting, learning, and testing tasks on mobile The app includes widely used built-in libraries for both learning and practical workflows, including: - requests - numpy - pandas - matplotlib - pillow - beautifulsoup4 - pyyaml - rich - click - openai These libraries are useful for: - Data processing and analysis - Network requests and API testing - Text processing and content parsing - Image handling and visualization experiments - Automation scripts and AI-related practice The editor is optimized to make coding easier on mobile: - Syntax highlighting for clearer code - Line numbers for easier navigation - Find and replace for faster editing - Go to line for longer files - Bracket completion and input helpers for smoother typing - A built-in run panel and output viewer while you code On iPad, the app also supports a three-column workspace for a more desktop-like workflow: - A file browser on the left - A focused editor in the center - A run output panel on the right Great for: - Learning Python - Everyday scripting and practice - Data work and API debugging - Classroom demos and study sessions - Saving, editing, and testing code snippets anywhere - Terms of Service: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ - Privacy Policy: https://my.feishu.cn/wiki/XIYSwxXO3iaI0NkQCRwcMnoQn6f