Initialize a data science python project

init_py_project.sh

# __author__ = 'Alex Galea'
# __license__ = MIT
# __version__ = '0.1.0'

# Build with cookiecutter
# pip install cookiecutter
# Template reference - http://drivendata.github.io/cookiecutter-data-science/
echo "Building cookiecutter template to start"
cookiecutter https://github.com/drivendata/cookiecutter-data-science

# Get newly created dir
cd "$(\ls -rt | tail -1)"
echo "\nMoved to `pwd`\nIs this your new project dir? (y/n)?"
read answer
if echo "$answer" | grep -iq "^n" ; then
    echo "Something went wrong. Run cleanup manually 😑"
    exit 1
else
    echo "Cleaning up cookiecutter setup 🍪"
fi

# Remove things I don't use
rm Makefile
rm -r docs
rm tox.ini
rm test_environment.py
rm -r data/external

# Make results folder
echo "Making results folder"
mv reports results
mkdir resutls/tables
mkdir results/reports

echo "Downloading README.md"
curl https://gist.githubusercontent.com/agalea91/a1924d89f3193e390b19afe60c37072c/raw/README.md > README.md

echo "Downloading requirements.txt"
curl https://gist.githubusercontent.com/agalea91/d5a644b7f0a0ea0bfae237d00ac4cd82/raw/requirements.txt > requirements.txt

echo "Downloading .gitignore"
curl https://gist.githubusercontent.com/agalea91/e5c94aa44db1648e6c6f2c41e183cbf7/raw/.gitignore > .gitignore

# Build out notebooks dir
cd notebooks
echo "Downloading clean.py"
curl https://gist.githubusercontent.com/agalea91/bf277d23aaf3ba2daee3bff62b9a24d6/raw/clean.py > clean.py
mkdir src
echo "Downloading jupyter_defaults.py"
curl https://gist.githubusercontent.com/agalea91/d81e089c89c2a828c4e4c0b4e1919911/raw/jupyter_default.py > src/jupyter_default.py
cd ..

echo "Done 🍰"
tree .