Home Backend Development Python Tutorial How to change the running environment of pycharm

How to change the running environment of pycharm

Apr 24, 2024 pm 10:09 PM
python pycharm

The steps to change the running environment in PyCharm are as follows: Open PyCharm and load the project. Click "Run" > "Edit Configuration" in the menu bar. Select the run/debug configuration to edit. In the Run/Debug Settings tab, click the ellipsis (...) next to the Python Interpreter field. Choose a different Python interpreter or virtual environment. Click OK to save changes.

How to change the running environment of pycharm

How to change the running environment in PyCharm

Changing the running environment in PyCharm is a simple process. Allows you to run and debug your code in different Python versions or virtual environments.

Steps:

  1. Open PyCharm and load your project.
  2. Click "Run" > "Edit Configuration" in the menu bar.
  3. In the Configuration window, select the run/debug configuration you want to edit from the left panel.
  4. In the Run/Debug Settings tab, click the ellipsis (...) next to the Python Interpreter field.
  5. Select a different Python interpreter or virtual environment from the drop-down menu.
  6. Click OK to save changes.

Select Python interpreter

PyCharm supports a variety of Python interpreters, including system default interpreters, installed virtual environments, and custom interpreter. To select an interpreter, click the ellipsis (...) next to the Python Interpreter field and select from the drop-down menu.

Create or activate a virtual environment

A virtual environment is an isolated Python environment that contains a specific version of Python and related packages. They can be used to isolate your project from a system-wide Python installation or other projects. To create or activate a virtual environment, click the gear icon in the upper right corner of the drop-down menu and select Add.

Set other run/debug options

In addition to changing the run environment, the Configuration window also allows you to set other run/debug options, such as:

  • Command line parameters: Specify the command line parameters passed to the Python interpreter when running the code.
  • Environment variables: Add or edit environment variables that are set when running your code.
  • Working directory: Specify the default working directory when running code.

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