Issues with Executing Pip in PyCharm Projects due to Windows Defender Restrictions

Problem

Users experience issues when attempting to run pip commands within the terminal of PyCharm. Specifically, after upgrading pip, subsequent pip commands are denied due to access restrictions imposed by Windows Defender. As a result, the usability of the virtual environments is hindered.

Cause

The issue arises because Windows Defender often restricts the execution of binaries (such as pip.exe) based on their hash values. When pip is upgraded, the hash of its executable changes, and Defender's previous exclusions no longer apply. Additionally, permissions related to site-packages for the virtual environment might not be configured correctly.

Resolution

To resolve this issue, please consider the following steps:

1. Modify Windows Defender Exclusions:

   • Configure Windows Defender to exclude the entire directory where virtual environments for the projects are created. For example, exclude paths like C:\PycharmProjects\*\venv. Ensure to periodically verify or adjust exclusions when new projects are created.

2. Centralize Python Installation:

   • Instead of creating a new virtual environment per project, use a shared, system-level Python installation. Add this Python installation path to Defender's exclusions and configure PyCharm to use this as the project's interpreter.

3. Re-establish Virtual Environment Permissions:

   • Ensure virtual environments are activated properly by running .\.venv\Scripts\activate and check permissions.
   • Verify installation paths by using commands such as pip show to ensure packages are installed within the intended virtual environment.

Monitor ASR Rules:

• Set Defender's ASR rules to 'Audit Only' temporarily to diagnose if updates to pip are directly causing restriction reinstatement.

5. Dedicated Pip Installation Setting:
   • If necessary, manage pip configurations explicitly to ensure installations target the active virtual directory.

By implementing the above steps, you should be able to mitigate issues with pip and Python execution within restricted environments and maintain workflow efficiency in PyCharm.