PyCharm
jetbrains.comA Python IDE for creating, running, and debugging projects, notebooks, and data applications.
A Python IDE for creating, running, and debugging projects, notebooks, and data applications.
Calculate colour from spectral samples and compare the results in Python.
A Python-focused desktop IDE with project management, debugging, code checks, and an extensible plug-in system.
Edit Python modules in a desktop window, run them in an interactive shell, and debug them with built-in tools.
Convert and interpolate colours through an extensible Python object.
Science experiments, demonstration videos, questions and science-fair ideas.
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.
A Python and R IDE that pairs script and notebook editing with live data exploration 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.
Convert colour spaces and model perception-related transformations in Python.
A hosted notebook editor for Python and data work, with SQL cells, collaboration, and interactive reports.
Manipulate common colour representations with a small Python interface.
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.
Manage Python project dependencies, virtual environments, and package metadata from `pyproject.toml`.
Choose scientific colour maps and inspect or adapt them in Python.
Use continuous and categorical colour maps in Python visualizations.