![]() ![]() Heated discussions on Reddit / SOF etc detailing and arguing which is best. Yes, there are several prominant alternatives to each of the above referenced modules / libs. Suppose I want to run Python versions 2.7.10 and 3.5.0, then I would use pyenv to install these two versions (here, I chose as globals), and can view this using: $ pyenv versions ![]() In fact, it is slightly more convoluted than that (as you can also setup local configuration etc), but essentially that is enough for this discussion.įor further information on pyenv see /yyuu/pyenv So, when not running a particular virtual env via pyvenv etc, this is the "global" version in use. $ pyvenv myenv # myenv is now a local environment using Python 3.5.0įor further infoormation on pyvenv, see library/venvĪ module like pyenv (the names are confusing, right? Notice, pyenv, and not py venv) on the other hand, controls which VERSION of python your system is basically running. It will allow you to create a virtual environment that is set at the version of Python that was used to create it. Essentially it is a self-contained, light-weight python installation.Ī module like pyvenv provides 2) above. Can sort of think of this as a frozen local instance of a particular python version. The ability to create virtual environments (which is just a local folder containing all the plumbing (binaries and libs) for a particular version of python. The ability to switch between different versions of (System) Python Interpreter eg. There are really two different behaviours / responsibilities:ġ). Can completely sympathise with OP's confusion. This is a very good question as there are several python modules / libraries (built-in & third party) with similar names and purposes. Managing multiple virtual environments directly can become tedious, so the dependency management tutorial introduces a higher level tool, Pipenv, that automatically manages a separate virtual environment for each project and application that you work on. I suggest using Pipenv to create/handle virutal environments over the venv package. $ python -V # Now the *clean* command is bound back to the main version. $ python -V # The *clean* 'python' command is now bound to your activated venv. $ source myvenv_foo/bin/activate # Activate venv. Pyenv allows you to manage multiple Python versions without sudo for a single user, much like Node.js NVM and Ruby RVM. $ python3.5 -m venv myvenv_foo # Create a new venv from 'python3.5'. For Linux this means that it either each version has to be compiled and distributed for each version of each Linux distro (of which there are many). E.g: $ python -V # Use the *clean* 'python' command to show the main version of the OS. But keep in mind that when you activate a venv, you bind it to the clean/versionless python command, for as long as it's activated. If you have multiple Python versions installed, you can access each one by adding the version num to the command e.g. $ python3.5 -m venv myvenv_baz # Create a python3.5 venv named 'myvenv_baz'Īctivate venv source myvenv_foo/bin/activate # Activates venv 'myvenv_foo' $ python3.4 -m venv myvenv_bar # Create a python3.4 venv named 'myvenv_bar' The primary version, you would execute "make install" in your 2.6 buildĭirectory and "make altinstall" in the others.On Linux/Mac you can easily install multiple versions of Python next to the main one and you can use the venv package from the standard library to create virtual environments from each version >= 3.3.Ĭreate venv $ python3.3 -m venv myvenv_foo # Create a python3.4 venv named 'myvenv_foo' Install all other versions using "make altinstall".įor example, if you want to install Python 2.5, 2.6 and 3.0 with 2.6 being Version (if any) is your "primary" version. To install multiple versions using the same prefix you must decide which All files andĭirectories installed using "make altinstall" contain the major and minor Overwritten by the installation of a different version. Script) you must take care that your primary python executable is not Using the same installation prefix (-prefix argument to the configure On Unix and Mac systems if you intend to install multiple versions of Python If you want to compile the versions manually, this is from the readme file of the Python source code: Link /usr/bin/python to the one you want to use as default.Īll the libraries are in separate folders (named after the version) anyway. usr/bin/python2.5 and /usr/bin/python2.6. Just install them, then you have the commands e.g. ![]()
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