Learn and write Python 3.13 code with an integrated environment. Run, debug, and share scripts. Access libraries like OpenCV, NumPy, Pandas, and Matplotlib for data analysis and visualization. Import and manage Python packages from PyPI.
Perform statistical analysis and machine learning tasks using Python. Edit code with a built-in editor. Access libraries like NumPy, TensorFlow, pandas, and OpenCV for data processing and modeling. Visualize results with integrated tools.
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.
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.
Provides terminal emulator for running Unix commands on iOS. Users can transfer files via scp and curl, edit files with vim and ed, and process data using grep, awk, and sed.
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.
Create and run notebooks offline with embedded Python. Write and execute code snippets, add markdown text, and include scientific computation packages. Save and share notebook files directly.
Allows users to write and run Python code offline. It includes built-in modules like tkinter and turtle. Users can access scientific libraries such as numpy, pandas, and scikit-learn. The supports C/C++/PHP/Lua development.
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.
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.