Datasets for Technical Interviews

Workflow

1. Activating the Poetry .venv

1. which poetry
2. poetry install
3. poetry env info --path
4. source .venv/bin/activate

2. Generating Fake ecommerce .csv files

Run source scripts/create_fake_datasets.sh to create customers.csv, products.csv, transactions.csv, transaction_items.csv and reviews.csv

This is all that is needed for Pandas and python.

Jupyter Lab for this .venv

1. Create a kernel just for this .venv project python -m ipykernel install --user --name=.venv --display-name="technical-interview-prep-pandas". This is only run once. The installed kernelspec .venv is in /Users/neilbardhan/Library/Jupyter/kernels/.venv