walmart-sales-prediction

Presentation (PowerPoint)

Presentation (PDF)

LSTM Example 1

LSTM Example 2

Requirements

• conda (anaconda etc'...) - for manage the python envrioment

Technologies

• poetry - for managing the python packages. Only python, pip and poetry are installed by conda.
• jupyter-lab - for runing jupyter notebooks in the browser

Install

conda env create -f environment.yml
conda activate walmart-sales-prediction
poetry install --no-root

Get Started

Opening the Jupter Lab:

conda activate walmart-sales-prediction
jupyter-lab

CI (Formaters and Linters)

• note: the CI is not used because we dont have .py files in the project.

For running the Formaters for clean the code. Run in the terminal:

make fix

For running the Linters for check the code. Run in the terminal:

make lint

For running the Formaters and Linters for clean and check the code. Run in the terminal:

make fix-lint

List of the Formaters and Linters:

• black - for format the code
• isort - for sort and clean the imports
• flake8 - for check the code according to PEP8
• mypy - for static type checking

For removeing the cache. Run in the terminal:

make clean

In practice, you dont need to run this command, it called by the other make commands.

License

MIT License

Authors

• Lior Shiboli
• Omer Priel