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Provides some basics for manipulation with the descrete distributed trajectories with the Spark engine

Project description

Distributed Trajectories

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Provides some basics for manipulation with the descrete distributed trajectories with the Spark engine

Acknowledgment

This work up to 2021-04-30 was entirely supported by a research grant to Principal Investigator Raazesh Sainudiin titled Mobile Phone Data for Society and Privacy for the Individual: From the Conflict to a Synergy in Transport Flows Analysis from Research Center for Cyber Security at Tel Aviv University established by the State of Israel, the Prime Minister’s Office and Tel-Aviv University.

Features

  • TODO

Installation

  1. clone the public repository:

    $ git clone git://github.com/raalesir/distributed_trajectories
  2. create a Python virtual environment

    $ cd distributed_trajectories/distributed_trajectories && python3 -m venv taxi
  3. activate the venv. Check which python to point to the current directory.

    $ source taxi/bin/activate
  4. install dependencies:

    $ pip3  install  -r requirements.txt

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

0.1.0 (2021-03-08)

  • First release on PyPI.

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