Understanding the Command to See Conda Python Version

When working with conda, it is essential to understand how to check the version of the installed PyTorch and CUDA versions. This knowledge can be crucial for ensuring compatibility with specific projects or packages.

To begin with, you can create a new environment with a specific Python version using the command `conda create -n local python2.7 numpy1.16`. Here, 'local' is the name of the environment, while 'python2.7' and 'numpy1.16' specify the versions to be installed.

If you want to install a specific version of a package, you can add `` after the package name. For instance, `conda create -n snakes python3.4` will create an environment with Python 3.4 installed.

command to see conda python version

To check the PyTorch version using Python code, you can simply import the torch library and check its version as follows: `import torch; print(torch.version)`. By default, conda installs the newest versions of the packages it can find. However, you can also specify specific versions when installing packages.

Another way to check the installed Python versions is by using the command `conda create -n snakes python3.4` in your terminal or command prompt. This will list all the available Python versions that can be installed using conda.

For those who are new to conda, it's worth noting that Miniconda is a free minimal installer for conda. It is a small, bootstrap version of Anaconda that includes only conda, Python, and the packages they depend on. This makes it an excellent starting point for beginners or those who want to test conda without committing to the full Anaconda distribution.

In conclusion, understanding how to check the version of installed PyTorch and CUDA versions using conda is crucial for ensuring compatibility with specific projects or packages. By following the steps outlined above, you can easily check your Python version and ensure that it meets the requirements of your project.

Command to see conda python version