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  1. Jul 15, 2014 · Follow these steps: Open Setting (Ctrl + Alt + s) Click on plugins. Find Browse Repositories and click. Search for "python". Select Python SDK or pycharm. Restart the IDE. Go to project structure. Select the python SDK in projects or create a new project with python SDK.

  2. Nov 13, 2024 · Switch the Python interpreter in the IDE settings . Press Ctrl Alt 0S to open settings and then select Project <project name> | Python Interpreter. Click the drop-down and select the desired Python interpreter: If it's not on the list, click Show All. Then select the desired interpreter in the left pane and click OK.

  3. Oct 11, 2024 · Navigate to File | Project Structure or press Ctrl Alt Shift 0S. In the Project Structure dialog, select SDKs under the Platform Settings section, click , and choose Add Python SDK from the popup menu. In the left-hand pane of the Add Python Interpreter dialog, select System Interpreter. In the Interpreter drop-down, select one of the Python ...

  4. In the previous step, we customized the IDE. In this step we're going to learn how to set up a Python interpreter using PyCharm. New Interpreter. When we're talking about local interpreters, PyCharm lets us configure them in two main ways: You can select and use your system interpreter

  5. From the Start Menu, open the Anaconda Prompt. Activate a conda environment that contains an installation of Python by running the following command: # Replace <ENV_NAME> with the name of the environment. conda activate <ENV_NAME>. Copy to clipboard. Locate the Python interpreter by running the following command: where python. Copy to clipboard.

  6. Project Interpreter: Select Project: <your_project_name> > Python Interpreter from the left sidebar. Add Interpreter: Click the gear icon next to the interpreter dropdown and select Add.... Adding a New Python Interpreter. When adding a new Python interpreter in PyCharm, choose the interpreter type and its location.

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  8. Apr 18, 2024 · For example, Python 2.7, Python 3.6, Python 3.7, Anaconda 4.4.0, and so on. For more information, see Install Python interpreters. Each environment is composed of the specific Python interpreter, its standard library, and a set of preinstalled packages. It also contains any other packages you install while the environment is activated.

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