This assignment uses life expectancy in Europe grouped by Country (or other, like group of countries), Age, Sex, and Time. But the data format makes it hard to use. The task consists into cleaning the data and applying the concepts you've learned in the previous modules.
Before installing, make sure your pip is up to date.
pip --versionPrior to the introduction of pyproject.toml-based builds (in PEP 517 and PEP 518), pip had only supported installing packages using setup.py files that were built using setuptools. But in version 21.3, pip added support for performing editable installs of packages that use pyproject.toml. This means that you can use pip to install packages described in the pyproject.toml.
To update pip, run:
pip install --upgrade pipNow you're ready to go!
- Clone the Faast-Foundations repo and, from it, create a new repo with just the assignments:
git clone [email protected]:nosportugal/faast-foundations.git
cp -r faast-foundations/assignments assignments
cd assignments
git initYou will be later pushing this new repo to your personal GitHub account.
- Create a virtual environment with
python -m venv .venv. If you are using conda, you can create a virtual environment withconda create --name foundations pip. - Activate the virtual environment with
source .venv/bin/activateor.venv\Scripts\activateon Windows. Or, if you are on conda, activate the environment withconda activate foundations. - Install its dependencies on editable mode with:
pip install -e '.[dev]'And now you should be ready to get started!
Open the README.md file inside each assignment and follow the instructions.
Note: Remember that all commands inside the Readme files assume you are in the root of the project.
