Home Backend Development Python Tutorial What is the use of pycharm virtual environment?

What is the use of pycharm virtual environment?

Apr 24, 2024 pm 10:00 PM
python pycharm

PyCharm virtual environment purpose: Isolate project dependencies, test new software packages, manage Python versions, collaborative development, portability. Specific steps: Create a new project or open an existing project; open the "Settings" dialog box; go to "Project" > "Interpreter Name"; click "Add"; select "Virtual Environment"; specify the name and location; click "confirm".

What is the use of pycharm virtual environment?

The purpose of PyCharm virtual environment

PyCharm virtual environment is a sandbox environment that can be used for isolation and management Specific packages and libraries required for Python projects. It allows you to create independent environments for different projects and prevents package conflicts and dependency issues.

Specific use

  • Isolate project dependencies: The virtual environment isolates each project dependency from other projects to ensure No conflicts or unexpected interactions will occur.
  • Test new packages: Before installing a new package, you can test it in a virtual environment. This can help you identify potential issues without affecting other projects.
  • Manage Python versions: Different projects may require different Python versions. Virtual environments allow you to use different versions in different projects without affecting the global installation.
  • Collaborative Development: Team members can work in an isolated environment without disrupting each other's project configurations or dependencies.
  • Portability: Virtual environments can be easily exported and imported, allowing you to use the same settings on different computers or environments.

Using virtual environments

The steps to create and manage virtual environments in PyCharm are as follows:

  1. Create a new project or Open an existing project.
  2. Open the "Settings" dialog box.
  3. Go to "Project" > "Interpreter Name".
  4. Click the "Add" button.
  5. Select "Virtual Environment".
  6. Specify a name and location for the new virtual environment.
  7. Click "Confirm".

After creating a virtual environment, you can install and manage packages as needed. Changes in the virtual environment do not affect the global Python installation or other projects.

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