Training Setup#
Ensure a seamless learning experience by preparing your computer with the necessary software before the training commences.
Pre-requisites#
1. Operating System#
Linux/macOS: A recent version is preferred. macOS users should have Homebrew installed.
Windows: Consider using WSL2 with Ubuntu, though it’s not officially tested for this training.
2. Code Editor#
Choose a code editor you’re comfortable with, such as VSCode, PyCharm, Sublime, VI, or Emacs.
3. Python#
Install Python version 3.10.x or 3.11.x, ensuring that pip
is included and updated.
python -m pip install --upgrade pip
Install pipx
for managing Python applications:
python -m pip install --upgrade install pipx
Tip
Use Pyenv if your system doesn’t provide the required Python version.
4. Docker#
Ensure Docker version 20.10.18 or above is installed. Verify with:
docker --version
Ensure Docker is running. Verify with:
docker ps
5. Node and Node Tools#
Install the latest Node LTS version using NVM.
nvm install "lts/*"
Warning
Ensure to use the Node LTS Version (18) that is officially supported by Volto.
nvm install "18"
Todo
In future versions of the cookiecutter template, a .nvmrc
file will be included to simplify Node version management. The commands below will be applicable then.
nvm install
nvm use
Install Yeoman globally:
nvm alias default "lts/*"
npm install -g yo
6. External Services#
GitHub Account#
Make sure your computer is set up with the appropriate keys to access your GitHub account, as we will be utilizing GitHub extensively throughout this training.
Container Registry: GitHub or Docker Hub#
We'll use the GitHub Container Registry during the training. The concepts are also applicable to Docker Hub. If you prefer Docker Hub:
Create an account at Docker Hub.
Configure your local Docker to use Docker Hub credentials.
docker login
8. Make#
Make is pre-installed on most Linux distributions. For macOS, install Xcode and its command-line tools. Windows users are advised to use WSL that includes make
.
9. Troubleshooting#
Insufficient Docker virtual disk space#
Docker requires sufficient virtual disk space to install and build images. A typical error message may be: Could not create directory.
or anything else that mentions writing to the image.
To resolve this, use an appropriate docker system prune option, such as:
docker system prune -a
See also
You can also configure settings for Docker Desktop. Under Prefences > Resources > Advanced, you can configure appropriate settings for virtual disk limit and memory.
Insufficient Docker virtual memory#
Docker requires sufficient memory to install and build images. See the previous item for details.