Dbf Python Download
Renan Hunter
Due to the way most Linux distributions are handling the Python 3migration, Linux users using the system Python without creating a virtualenvironment first should replace the python command in this tutorialwith python3 and the python -m pip command with python3 -m pip --user. Do notrun any of the commands in this tutorial with sudo: if you get apermissions error, come back to the section on creating virtual environments,set one up, and then continue with the tutorial as written.
To use a pre-installed version of Python or PyPy on a GitHub-hosted runner, use the setup-python action. This action finds a specific version of Python or PyPy from the tools cache on each runner and adds the necessary binaries to PATH, which persists for the rest of the job. If a specific version of Python is not pre-installed in the tools cache, the setup-python action will download and set up the appropriate version from the python-versions repository.
Using the setup-python action is the recommended way of using Python with GitHub Actions because it ensures consistent behavior across different runners and different versions of Python. If you are using a self-hosted runner, you must install Python and add it to PATH. For more information, see the setup-python action.
If you are using a self-hosted runner, you can configure the runner to use the setup-python action to manage your dependencies. For more information, see using setup-python with a self-hosted runner in the setup-python README.
We recommend using setup-python to configure the version of Python used in your workflows because it helps make your dependencies explicit. If you don't use setup-python, the default version of Python set in PATH is used in any shell when you call python. The default version of Python varies between GitHub-hosted runners, which may cause unexpected changes or use an older version than expected.
By default, the setup-python action searches for the dependency file (requirements.txt for pip, Pipfile.lock for pipenv or poetry.lock for poetry) in the whole repository. For more information, see "Caching packages dependencies" in the setup-python README.
The data we will be using is taken from the gapminderdataset. To obtain it, download and unzip the file python-novice-gapminder-data.zip.In order to follow the presented material, you should launch theJupyterLab server in the root directory (see StartingJupyterLab).
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