Virtual versions can be used in two different scenarios to help optimise reporting and analysis. Most commonly, virtual versions are used to enhance reporting by removing the requirement to re-point existing reports to the latest budget or forecast version.

2) The -p option works differently with virtualenvwrapper: I have to specify the full path to the python interpreter to be used in the new environment(when I do not want to use the default python version):

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The module used to create and manage virtual environments is called venv. venv will usually install the most recent version of Python that you have available. If you have multiple versions of Python on your system, you can select a specific Python version by running python3 or whichever version you want.

this alias will also be used inside the virtual environment. So in this scenario running python -V inside the virtual env will always output 3.6 regardless of what interpreter is used to create the environment:

The most seamless experience for using virtualenv (added benefit: with any possible python version) would be to use pyenv and its (bundled) pyenv-virtualenv plugin (cf -to-pyenv/#virtual-environments-and-pyenv)

Did you see this? If I haven't misunderstand that answer, you may try to create a new virtualenv on top of the old one. You just need to know which python is going to use your virtualenv (you will need to see your virtualenv version).

If your virtualenv is installed with the same python version of the old one and upgrading your virtualenv package is not an option, you may want to read this in order to install a virtualenv with the python version you want.

I've tested this approach (the one that create a new virtualenv on top of the old one) and it worked fine for me. I think you may have some problems if you change from python 2.6 to 2.7 or 2.7 to 3.x but if you just upgrade inside the same version (staying at 2.7 as you want) you shouldn't have any problem, as all the packages are held in the same folders for both python versions (2.7.x and 2.7.y packages are inside your_env/lib/python2.7/).

If you change your virtualenv python version, you will need to install all your packages again for that version (or just link the packages you need into the new version packages folder, i.e: your_env/lib/python_newversion/site-packages)

Updated again:The following method might not work in newer versions of virtualenv. Before you try to make modifications to the old virtualenv, you should save the dependencies in a requirement file (pip freeze > requirements.txt) and make a backup of it somewhere else. If anything goes wrong, you can still create a new virtualenv and install the old dependencies in it (pip install -r requirements.txt).

Let's say your existing project is named foo and is currently running Python 2 (mkproject -p python2 foo), though the commands are the same whether upgrading from 2.x to 3.x, 3.6.0 to 3.6.1, etc. I'm also assuming you're currently inside the activated virtual environment.

I wasn't able to create a new virtualenv on top of the old one. But there are tools in pip which make it much faster to re-install requirements into a brand new venv. Pip can build each of the items in your requirements.txt into a wheel package, and store that in a local cache. When you create a new venv and run pip install in it, pip will automatically use the prebuilt wheels if it finds them. Wheels install much faster than running setup.py for each module.

Use of the -p or --python flag is supported on virtualenv, but not on venv. If you have more than one Python version and you want to specify which one to create the venv with, do it on the command line, like this:

I moved my home directory from one mac to another (Mountain Lion to Yosemite) and didn't realize about the broken virtualenv until I lost hold of the old laptop. I had the virtualenv point to Python 2.7 installed by brew and since Yosemite came with Python 2.7, I wanted to update my virtualenv to the system python. When I ran virtualenv on top of the existing directory, I was getting OSError: [Errno 17] File exists: '/Users/hdara/bin/python2.7/lib/python2.7/config' error. By trial and error, I worked around this issue by removing a few links and fixing up a few more manually. This is what I finally did (similar to what @Rockalite did, but simpler):

Using the PowerShell cmdlet Get-VMHostSupportedVersion you can see what virtual machine configuration versions your Hyper-V Host supports. When you create a virtual machine, it's created with the default configuration version. To see which virtual machine configuration versions your Hyper-V Host supports and what the default is, run the following command.

If you need to create a virtual machine that you can move to a Hyper-V Host that runs an older version of Windows, use the New-VM cmdlet with the -Version parameter. For example, to create a virtual machine named "WindowsCV5" with configuration version 5.0, run the following command:

You can only import a virtual machine if the Hyper-V host supports that configuration version. Typically, this means that you can import a virtual machine to a Hyper-V host running a newer version of Hyper-V, but you cannot import a virtual machine created on a newer version of Hyper-V to an older version of Hyper-V.

If the VM's configuration version is not listed as supported for your Hyper-V host OS in the table below, you either have to upgrade the VM configuration version to a newer version or create a new VM of the same generation using the existing virtual hard disks before you can start the VM.

When you move or import a virtual machine to a computer that runs Hyper-V on Windows Server 2019, Windows Server 2016, or Windows 10, the virtual machine's configuration isn't automatically updated. This means that you can move the virtual machine back to a Hyper-V host that runs a previous version of Windows or Windows Server. But, this also means that you can't use some of the new virtual machine features until you manually update the configuration version.

The virtual machine configuration version represents the compatibility of the virtual machine's configuration, saved state, and snapshot files with the version of Hyper-V. When you update the configuration version, you change the file structure that is used to store the virtual machines configuration and the checkpoint files. You also update the configuration version to the latest version supported by that Hyper-V host. Upgraded virtual machines use a new configuration file format, which is designed to increase the efficiency of reading and writing virtual machine configuration data. The upgrade also reduces the potential for data corruption in the event of a storage failure.

If you have virtual machines that you created with an earlier version of Hyper-V, some features that are available on the newer host OS may not work with those virtual machines until you update the configuration version.

As a general guidance, we recommend updating the configuration version once you have successfully upgraded the virtualization hosts to a newer version of Windows and feel confident that you do not need to roll back. When you are using the cluster OS rolling upgrade feature, this would typically be after updating the cluster functional level. This way, you will benefit from new features and internal changes and optimizations as well.

What would be the best way to migrate the config of a hardware based LTM running 11.6.1 to a new virtual pair running 13.1, appears the F5 big ip migration assistant isnt working as its trying to license and already licensed virtual ltm. Also no luck trying to restore an archive as well. Any help would be appreciated.

I am experiencing some problems using the virtual background feature on Zoom Web SDK version 2.10. I have successfully enabled virtual background using SharedArrayBuffer, but I am having trouble loading a background image from my developed web app.

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You can also have the VC upgrade the newly added switch by adding the 'set virtual-chassis auto-sw-update' configuration knob beforehand. This way a new switch is upgraded to the same version as the rest of the existing VC.

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I want to be able to run both Python 3.8 (currrent version) and Python 3.7 in my Jupyter Notebook. I understand creating different IPython kernels from virtual environments is the way.

So I downloaded Python 3.7 and locally installed it in my home directory. Used this python binary file to create a virtual environment by

This also runs without error and the kernel can be confirmed to be added in the Notebook. However it does not run Python 3.7 like the virtual environment, but Python 3.8 like the default kernel. (confirmed with sys.version) 0852c4b9a8

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