How to change the environment in pycharm

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Release: 2024-04-24 21:27:16
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You can change the PyCharm environment by using a virtual environment, setting the interpreter path, or managing multiple interpreters. Virtual environments can isolate projects, interpreter paths can point directly to interpreter executables, and managing multiple interpreters allows for easy switching. Changing the environment requires restarting the project, and it is recommended to use the correct Python version, virtual environment, and backup project.

How to change the environment in pycharm

How to change the PyCharm environment

PyCharm provides several ways to change the project environment so that it can be different from The Python interpreter and library are used together.

1. Use virtual environments

Virtual environments are independent Python environments that can isolate different projects and their dependencies. To use a virtual environment:

  • Go to File > Settings > Projects > Python Interpreter
  • Click the Plus button ( )
  • Select "Create Virtual Environment"
  • Enter the environment name and select the Python interpreter version

2. Use the interpreter path

If you don’t want to use a virtual environment, you can also set the interpreter path directly:

  • Go to File > Settings > Project > Python Interpreter ”
  • Click the “Plus” button ( )
  • Select “Attach an installed Python interpreter”
  • Browse and select the Python interpreter executable (usually python or python3)

3. Managing multiple interpreters

PyCharm allows you to manage multiple interpreters so that you can easily switch between them Toggle:

  • Go to File > Settings > Project > Python Interpreter
  • Use the Plus and Minus buttons Adding and removing interpreters
  • Use the "Up" and "Down" buttons to set the preferred interpreter

4. Restart the project

After changing the environment, you need to restart the project for the changes to take effect:

  • Find the "Run" area at the bottom of the PyCharm window
  • Click the "Restart Project" button

Tip:

  • Make sure to use the correct version of the Python interpreter that is compatible with your project.
  • It is recommended to use a virtual environment to isolate projects and avoid dependency conflicts.
  • Back up your project before changing environments, just in case something goes wrong.

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