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A Python-focused desktop IDE with project management, debugging, code checks, and an extensible plug-in system.

A Python IDE for creating, running, and debugging projects, notebooks, and data applications.

Choose geoscience colormaps with numerical tables and import instructions.

Edit Python modules in a desktop window, run them in an interactive shell, and debug them with built-in tools.

A browser-based Python environment paired with managed web-app hosting.

Develop Python in a project-aware desktop IDE with a debugger, test runner, and optional coding-agent tools.

An interactive Python IDE that pairs a source editor with a shell and introspection tools.

Validate Python data against typed models and generate matching JSON Schema.

Build interactive Python applications for the terminal with widgets, CSS, and keyboard bindings.

Manage Python projects, dependencies, environments, and commands with one fast command-line tool.

Combine Python expressions and shell commands in one Python-based command prompt.

Choose scientific colour maps and inspect or adapt them in Python.

Use continuous and categorical colour maps in Python visualizations.

A reactive Python notebook editor that saves notebooks as ordinary Python files.

A beginner-focused Python IDE that makes variables and program execution visible while you learn.

Run Python programs and isolate project packages with the official CPython interpreter.

Load, reshape, and analyze labeled tabular and time-series data with Python.

A Python and R IDE that pairs script and notebook editing with live data exploration tools.

Manage Python project dependencies, virtual environments, and package metadata from `pyproject.toml`.

Focused Python challenges with detailed solution study

A Python property-based testing library that generates inputs to challenge the properties your code should preserve.

Explore Python interactively with completion, object introspection and persistent command history.

Lint and format Python projects with one configurable command-line tool.

Install Python command-line applications into isolated environments or run them once without a permanent install.