py-utilz 0.3.2

Faster, easier, more robust python data analysis

Utilz

Convenient helper functions, decorators, and data analysis tools to make life easier with minimal dependencies:

pip install py-utilz

from utilz import mapcat

# Combine function results into a list, array, or dataframe
mapcat(myfunc, myiterable) 

# Syntactic sugar for joblib.Parallel
mapcat(myfunc, myiterable, n_jobs=4)

from utilz import log, maybe

# Print the shape of args and outputs before and after execute
@log
def myfunc(args):
    return out

# Only run myfunc if results.csv doesn't eist
@maybe('results.csv')
def myfunc(args):
    return out

Development

1. Install poetry: curl -sSL https://install.python-poetry.org | python
2. Setup virtual environment poetry install
3. Run all tests: poetry run pytest
4. Live render docs: poetry run mkdocs serve

Additional poetry/virtual environment commands

• Activate environment in current shell: source activate .venv/bin/activate
• Activate environment in sub-process shell: poetry shell
• Add/remove additional packages: poetry add/remove package_name
• Build local package: poetry build
• Deploy to pypi: poetry publish (requires auth)