You can check if you have admin privileges by launching a command shell (cmd) and typing the command “net user” (without the quotes).

You must be logged on as a user with full administrative privileges and be connected to the Internet. Prerequisites: A machine with a relatively modern CPU (no older than 8 years old) running Windows 10 or 11. See the links at the bottom of this blog post for install guides for PyTorch and Keras/TensorFlow after you install Anaconda Python. You need to install Anaconda Python before you can install the PyTorch or Keras/TensorFlow neural network code libraries. Change python3.10 to your installed Python version in the command.Anaconda is a collection of software packages that contains a base Python engine plus over 500 compatible Python packages. If you have never used venv, you should first install its dependencies on your computer with the following command. Venv is the recommended way to create a virtual environment in Python and it comes preinstalled. Therefore, it is advisable to use a virtual environment for your Python projects. If you don’t use virtual environments, you don’t have any control on the versions of the packages you have used in your project, which is problematic when you try to run your software on a different machine. Think of a virtual environment as an isolated room that has minimal dependencies. It’s an isolated Python environment that has its own tools and libraries independent of the main setup. This is where a virtual environment comes in handy.

As Linux comes with a preinstalled version of Python and uses different packages to run the operating system, manually installed packages in the global scope can disrupt its functioning. If you use the default package installer, pip, or pip3 to install Python libraries and packages, it will install the packages globally. Python is not good at managing dependencies. Sudo update-alternatives -config python Manage Python Projects With Virtual Environments

Check conda python version