datascience

JavaScript and Python Solutions for Coderbyte Challenges

This repository provides JavaScript and Python solutions to Coderbyte challenges, complete with unit tests and a script for generating templates.

Shipped January 2026

Never fail a Coderbyte interview again! This repository offers comprehensive JavaScript and Python solutions to coding challenges from coderbyte.com. It includes unit tests and a script to scaffold new challenge templates efficiently.


Features

  • Solutions to Coderbyte challenges in both JavaScript and Python.
  • Unit tests implemented with Jest for JavaScript and pytest for Python.
  • generate.js script to quickly create new problem and test file templates.
  • Challenges organized by difficulty levels: easy, medium, and hard.

Tech Stack

  • Languages: JavaScript (primary), Python
  • Testing: Jest (JavaScript), pytest (Python)
  • Runtime: Node.js for running scripts and tests

Getting Started

Prerequisites

  • Node.js (for JavaScript environment)
  • npm (comes with Node.js)
  • Python 3
  • pip3 (Python package manager)

Installation

Clone the repository:

git clone https://github.com/justin-napolitano/coderbyte-python-javascript
cd coderbyte-python-javascript

Install JavaScript dependencies:

npm install

Install Python testing tool:

pip3 install pytest

Running JavaScript Tests

Run all tests:

npm test

Run coverage report:

npm run coverage

Running Python Tests

Navigate to the difficulty folder and then to the python subfolder, for example:

cd easy/python

Run pytest:

pytest

Run an individual test:

pytest test_<file_name>.py

Project Structure

coderbyte-python-javascript/
├── easy/
│   └── python/  # Python solutions for easy challenges
├── medium/
│   └── python/  # Python solutions for medium challenges
├── hard/
│   └── python/  # Python solutions for hard challenges
├── generate.js  # Script to generate new challenge templates
├── package.json
├── package-lock.json
└── README.md
  • easy, medium, hard: Folders containing challenge solutions organized by difficulty.
  • generate.js: Node.js script to scaffold new challenge files and tests.

Future Work / Roadmap

  • Add more Python solutions and corresponding unit tests to balance language support.
  • Enhance generate.js to support Python template generation.
  • Integrate continuous integration workflows for automated testing.
  • Expand documentation with usage examples and coding standards.
  • Add performance benchmarks for select algorithms.

This repository is designed to be a practical resource for preparing coding interviews on coderbyte.com with ready-to-run solutions and tests in two popular languages.

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