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Production ready Data-Science with Python and Luigi

This repo contains the slides, notebooks and example code for the talk at code.talks 2018 in Hamburg.

Setup

You should install luigi before running the pipeline.

pip install -r requirements.txt

Code

The example luigi pipeline is under "pipelines". It can be started by running

PYTHONPATH='.' luigi --module 00_training_pipeline Export --dataset-version 1 --model-version 1

The notebooks contain the tasks and a few examples for presentation purposes.

Slides

The slides are accessible via the Jupyter Notebook "Production-Ready-Datascience.ipynb" as well as the PDF "presentation.pdf".

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Slides and code from code.talks2018

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  • HTML 56.3%
  • Jupyter Notebook 40.1%
  • Python 3.6%