semvec/pypi-packages huggingface dataset:
interviewing 0.0.5
A sassy package for shaming unimaginative interviewers.
Requires Python: >=3.8

[![PyPI Version][pypi-image]][pypi-url]
[![Build Status][build-image]][build-url]
[![Code Coverage][coverage-image]][coverage-url]
[![Code Quality][quality-image]][quality-url]

<!-- Badges -->

[pypi-image]: https://img.shields.io/pypi/v/interviewing
<!-- todo change from test -->
[pypi-url]: https://test.pypi.org/project/interviewing/
[build-image]: https://github.com/ayyjohn/interviewing/actions/workflows/build.yml/badge.svg
[build-url]: https://github.com/interviewing/interviewing/actions/workflows/build.yml
[coverage-image]: https://codecov.io/gh/ayyjohn/interviewing/branch/main/graph/badge.svg
[coverage-url]: https://codecov.io/gh/ayyjohn/interviewing
[quality-image]: https://api.codeclimate.com/v1/badges/56267f6de2f264270106/maintainability
[quality-url]: https://codeclimate.com/github/ayyjohn/interviewing/test_coverage

# Interviewing

Interviewing is a sassy package for shaming unimaginative interviewers.

Have you ever walked in to an interview and been asked to calculate the optimal time to buy and sell a stock?

Well, gone are the days of remembering interview-only algorithms. 
Instead, simply import the question from `interviewing`'s `questions` module and use our code instead.

```python
from interviewing.questions import buy_and_sell_a_stock_once
```

No more fizzbuzz! No more is_palindrome! No more lame interview questions!