Learn Python with interactive tutorials and challenges
Learn Python with structured courses covering core concepts, data analysis, and machine learning. Practice coding in an integrated development environment. Complete interactive quizzes and challenges to reinforce skills.
Allows users to write, run, and debug code locally on iOS. It supports popular libraries like NumPy, Pandas, and Matplotlib. Users can manage projects, view variable outputs, and integrate with external tools.
Write and execute code with instant runtime and smart syntax recognition. Access step-by-step tutorials and sample projects. Format code automatically and learn through built-in resources.
Provides a Python 3.10 environment with code completion and a debugger. It includes a terminal, C/C++ compiler, and support for third-party libraries like cryptography and matplotlib. Users can build graphical interfaces and use Shortcuts.
Access Git repositories on iOS. Clone repositories to get local copies with all branches. Edit files, commit changes, and push updates. Work offline and sync when online. Allow other apps to access repositories via the Files .
Coding with interactive labs and an on-device Python IDE. Run without setup or internet. Access tutorials on syntax, variables, functions, loops, data analysis, visualization, web scraping, networking, XML/JSON parsing, and machine learning.
Edit code with syntax highlighting and code completion suggestions. Open files from iCloud or drag onto the . Insert tags via menu or comment code with dynamic detection. Export files directly.
Navigate and manage files and folders, preview documents and media. Browse and view notebooks. Run scripts and notebooks. Integrate with source code formats. Edit and debug code with syntax highlighting. Save and export code changes.
Allows users to engage in multilingual conversations with natural fluency. It generates text for creative writing and reasoning. It provides real-time insights and up-to-date knowledge.
Provides a command line interface for coding and system tasks. Users can execute commands like ls, ping, and clang. Features include file management, network diagnostics, and text processing. Supports scripting and terminal-based development.