This is where virtual environments tools come into play. Since there is no differentiation between versions, both projects would be required to use the same version, which is unacceptable in this case. Both TensorFlow v1.5 and TensorFlow v2 would reside in the same directory with the same name. This would be a real problem since Python can’t differentiate between versions in the site-packages directory. Imagine a scenario where you are working on two machine learning projects and one of them uses TensorFlow v1.5 and the other uses TensorFlow v2. You can find that by: > import site > site.getsitepackages() By default, every Python project on your machine will use the default Python site-packages directory (Which is associated with the main Python installation and is represented as base(root) environment). Like other programming language, Python has its own way of downloading, storing and resolving packages (or libraries). Add Virtual Environment to Juypter Notebook.Create a Virtual Environment using virtualenv.What is the difference between virtualenv, virtualenvwrapper, penv and venv?.Virtualenv sets up the Python environment and installs the pip program. You can replace project with any name you want: To create the environment, type the following command. To make sure you are in your home directory, type the following command at the command line:.To create a custom Python environment using virtualenv, follow these steps: Because the environment is isolated, you do not have to worry about other programs installing incompatible versions or otherwise breaking the application's configuration. This means you can install any specific versions that an application may require. A custom environment has its own installation directories, Python executables, packages, and modules. The virtualenv program allows you to create your own custom Python environments.
Using virtualenv to create and activate an environment Follow the procedures below to set up your Python environments.
For information about how to use the Python Selector, please see this article. On shared and reseller hosting accounts, you should use the Python Selector instead to install and manage Python environments.
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