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Optimizing an urban meal delivery platform
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Alexander Hess bb6de05709
Add a code formatting tool chain 
- (auto-)format code with:
  + autoflake => * remove unused imports and variables
                 * remove duplicate dict keys
                 * expand star imports
  + black => enforce an uncompromising code style
  + isort => enforce a consistent import style
             (complying with Google's Python Style Guide)
- implement the nox session "format" that runs all these tools
- add the following file:
  + setup.cfg => holds configurations for the develop tools
2020-08-03 21:39:49 +02:00
src/urban_meal_delivery Initial commit 2020-08-03 20:19:42 +02:00
.gitignore Add nox as the task runner 2020-08-03 21:24:06 +02:00
LICENSE.txt Initial commit 2020-08-03 20:19:42 +02:00
noxfile.py Add a code formatting tool chain 2020-08-03 21:39:49 +02:00
poetry.lock Add a code formatting tool chain 2020-08-03 21:39:49 +02:00
pyproject.toml Add a code formatting tool chain 2020-08-03 21:39:49 +02:00
README.md Initial commit 2020-08-03 20:19:42 +02:00
setup.cfg Add a code formatting tool chain 2020-08-03 21:39:49 +02:00

README.md

Urban Meal Delivery

This repository holds code analyzing the data of an undisclosed urban meal delivery platform operating in France from January 2016 to January 2017. The goal is to optimize the platform's delivery process involving independent couriers.

The analysis is structured into three aspects that iteratively build on each other.

Real-time Demand Forecasting

Predictive Routing

Shift & Capacity Planning