Utilities for the Analyis of the Citi Bike Dataset.

create new conda enviroment dsfm using anaconda

conda env create --file ./environment.yml

download from https://s3.amazonaws.com/tripdata/index.html i.e. s3//tripdata

in linux commandline:

# download all zips
conda activate dsfm
python -m awscli s3 sync s3://tripdata ./data_raw_zip --no-sign-request

# unzip all files starting with ./data_raw_zip/20[.*].zip to /data_raw
# in linux use this command:
unzip -u './data_raw_zip/20*-citibike-tripdata.*zip' -d './data_raw'

periodically updated the dependencies on changes:

conda activate dsfm
conda env update --file environment.yml --prune

Start Jupyter Lab

conda activate dsfm
jupyter lab

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