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 --version
Prior 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 pip
Now you're ready to go!
- Clone this 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
. - Activate the virtual environment with
source .venv/bin/activate
or.venv\Scripts\activate
on Windows. Or, if you are on conda, activate the environment withconda activate foundations
. - Install its dependencies on editable mode with
pip install -e '.[dev]'
.
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.