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Python virtual environment
Python virtual environment












python virtual environment python virtual environment

If application B requires a library be upgraded to version 3.0, this will not affect application A’s environment.

To resolve the earlier example of conflicting requirements, application A can have its own virtual environment with version 1.0 installed while application B has another virtual environment with version 2.0. When you run pdm install the first time on a new PDM-managed project, whose Python interpreter is not decided yet, PDM will create a virtualenv in .

The solution for this problem is to create a virtual environment, a self-contained directory tree that contains a Python installation for a particular version of Python, plus a number of additional packages.ĭifferent applications can then use different virtual environments. If application A needs version 1.0 of a particular module but application B needs version 2.0, then the requirements are in conflict and installing either version 1.0 or 2.0 will leave one application unable to run. This will create a new directory called 'env' that contains the isolated environment for your. To do this, navigate to the directory where you want to create your project and run the following command: virtualenv env. This means it may not be possible for one Python installation to meet the requirements of every application. Once you have installed Virtualenv, you can create a virtual environment for your project. Python applications will often use packages and modules that don’t come as part of the standard library.Īpplications will sometimes need a specific version of a library, because the application may require that a particular bug has been fixed or the application may be written using an obsolete version of the library’s interface.














Python virtual environment