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.
With a smart chatbot to get answers, solve problems, and find information. Generate images using AI for creative projects. Collaborate in real-time with team members through shared workspaces.
With interactive tutorials for all skill levels. Run code snippets using an integrated compiler. Access hundreds of examples and practice exercises. View code output instantly. Brush up on interview concepts and syntax.
Compile and run C++ on mobile devices with integrated Python and Lua environments. Execute Linux commands via console. Support highlighting, split-screen display, and console input/output.
Coding through interactive exercises in Python, SQL, HTML, CSS, and JavaScript. Practice coding without lectures or subscriptions. Track progress and at your own pace. No experience required.
Learn HTML, CSS, and JavaScript with code templates, auto-completion, and syntax highlighting. Run code examples locally and share via LAN HTTP/FTP. Use Git for version control and iCloud for storage. Edit and execute code directly within the .
Enables typing and testing directly on iPhone or iPad. Supports syntax highlighting and auto-suggestions for multiple programming languages. Includes quick pop-up for operators and customizable themes for light and dark modes.
Code in a mobile-friendly environment with syntax highlighting and auto-saving. Run and test game code instantly on the device. Sync code changes with Git repositories automatically.
Teaches basic programming through interactive lessons. Allows children to create games and design projects. Includes step-by-step guidance and feedback from educators. Supports learning through play and self-directed projects.
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.
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.
Learn C/C++ with code templates, auto-completion, and auto-indentation. Compile and execute code offline. Fetch Git repositories and store files using iCloud. Share code via LAN using HTTP/FTP. Run examples directly within the .
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.