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Anaconda and Miniconda work with popular IDEs, letting you choose the development environment that fits your workflow and configure it for conda environments. Follow these guides to learn how to select Anaconda as your Python interpreter and add packages to your projects.
IDEs often require you to specify the path to your Python interpreter. For more information, see finding your Anaconda Python interpreter path.

JupyterLab

Interactive notebooks for exploratory data science and visualization

PyCharm

Full-featured Python IDE with advanced debugging, testing, and refactoring tools

Spyder

Scientific IDE designed specifically for data science with integrated variable explorer and debugging

Visual Studio Code

Lightweight, extensible editor with rich Python support through extensions

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Deprecated IDEs

The following IDE guides have been deprecated and may be out of date. While they’re still available for reference, Anaconda recommends using one of the actively supported IDEs above.