Image obtained from DALL-E: epic virtual pythons yellow and blue with a cyberpunk style
Whenever I get a new computer, I need to get through the python versions management, so this is the guide with the most common commands I need to execute to get up and running.
For this, I will use pyenv and the pyenv-virtualenv tools.
Initial help
This should be the most common first step for most of the tools we use.
# Get the available commands for pyenv
pyenv --help
Get The Installed Python Versions
This command will show us which versions we have already installed in our system. In the beginning, it should be only system
, which is the default installation that comes with the macOS.
## List all the python versions available to pyenv
pyenv versions
Install A New Version
First, we should run the --help
command, to get the available subcommands available in the install
option.
# Generic help & usage
pyenv install --help
Then, we need to decide which version we want to install. For that, we may want to first see all the available versions. To achieve this, we need to execute:
# List all available versions
pyenv install --list
Finally, we need to execute the installation command with the version we want. As an example, I will install the 3.9.14
version.
# Install selected version
pyenv install 3.9.14
To verify our installation, we may execute pyenv versions
again, and the recent installation should appear there.
Use The Recently Installed Python Version
To use the recently installed as the global
, or default version, we need to execute:
# Sets the global Python version
pyenv global 3.9.14
Create a Virtual Environment
The best practice for python projects, is to use a virtualenv per project, so we can have isolated dependencies between them. To create a new virtualenv we need to execute:
# Create a new virtual env with the global python version
# pyenv virtualenv YOUR_VIRTUAL_ENV_NAME
# e.g.
pyenv virtualenv python-graphql-client
List All the Virtual Environments
A good way to verify that a virtual env has been created successfully is to list all the available virtual environments. To achieve this, we execute:
# Show available virtualenvs
pyenv virtualenvs
Activate The Virtual Environment
To activate, and start using your virtual environment, you need to execute:
# Activate a virtualenv
# pyenv activate YOUR_VIRTUAL_ENV_NAME
# e.g.
pyenv activate python-graphql-client
Deactivate The Virtual Environment
Once you're done using your virtual environment, you may want to deactivate it. To achieve this, you may run:
# The deactivation must be sourced
source deactivate
Extra
If you want to avoid activating and deactivating manually, you can use aactivator, which will activate and deactivate automatically based on the project you are placed.
Conclusions
This is the basic stuff that works for me. If you find it useful, consider giving a like. Happy hacking!
Top comments (0)