pandas-aws 0.1.5

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Pandas AWS - AWS use made easy for data scientists

Pandas AWS makes it super easy to use a pandas.DataFrame along with AWS services.

# Example : get a DataFrame from multiple CSV files in S3

from pandas_aws import get_client, get_df_from_keys

MY_BUCKET= 'pandas-aws-bucket'

s3 = get_client('s3')

df = get_df_from_keys(s3, MY_BUCKET, prefix='my-folder', suffix='.csv')

Installing pandas-aws

Pip installation

You can use pip to download the package

pip install pandas-aws

Contributing to pandas-aws

Git clone

We use the develop brand as the release branch, thus git clone the repository and git checkout develop in order to get the latest version in development.

git clone [e-mail]:FlorentPajot/pandas-aws.git

Preparing your environment

Pandas AWS uses poetry to manage dependencies. Thus, poetry is required:

curl -SSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | python

Create a separate Python environment, for example using pyenv:

pyenv virtualenv pandas-aws
pyenv activate pandas-aws

Then install dependencies with poetry after your git clone from the project repository:

poetry install

Guidelines

Todo