It is still used by many although people are moving to improved pipenv or conda (explained below). It is very helpful for the application required separate environments on the same server. Virtualenv was the default way of creating virtual environment for many years. This doesn’t share libraries with other environments. If you want to create a virtualenv for specific python version, type virtualenv -p /usr/bin/python3 virtualenvname. If you do have Python 2.7.9+ or 3.4+, and its ssl module had been, in fact, compiled against system openssl, say v1.0.2k, then even old pip (such as v6.0.8) would still be working with PyPI as of. This environment has its own installation directories and environment.
VIRTUALENV FOR PYTHON 2.7.9 INSTALL
Once you have found the release you are looking for, simply specify in the pip3 install command. Virtualenv is a tool used to create an isolated Python environment. Let's say for example that you want to create a project with Python's latest version 3. With the -p flag you can create environments that use different versions of the Python interpreter. When an invalid version is specified, Pip3 will output an error along with all of the available releases. Another interesting feature of virtualenv is the ability to create sandboxes for different versions of Python interpreter.
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