https://github.com/tangoman75/node-lab
TangoMan Node Lab is a Javascript coding project for practicing common interview questions and coding challenges.
https://github.com/tangoman75/node-lab
interview-questions javascript nodejs
Last synced: 4 months ago
JSON representation
TangoMan Node Lab is a Javascript coding project for practicing common interview questions and coding challenges.
- Host: GitHub
- URL: https://github.com/tangoman75/node-lab
- Owner: TangoMan75
- License: mit
- Created: 2024-02-01T17:06:24.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2025-10-08T16:05:02.000Z (10 months ago)
- Last Synced: 2025-10-08T18:34:53.681Z (10 months ago)
- Topics: interview-questions, javascript, nodejs
- Language: Shell
- Homepage: https://tangoman.io
- Size: 136 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
README

[](https://github.com/TangoMan75/node-lab/releases)
[]((https://github.com/TangoMan75/node-lab/blob/master/LICENSE))
[](https://github.com/TangoMan75/node-lab/stargazers)
[](https://github.com/TangoMan75/node-lab/actions/workflows/node.yml)

🔬 TangoMan Node Lab
====================
#back-end #interview #practice #node #javascript #technical-interview #test #training #vanilla
**🔬 TangoMan Node Lab** is a Javascript coding project for practicing common interview questions and coding challenges.
There are various Javascript scripts in the root directory that implement different algorithms and solutions to coding problems:
1. 🔄 **Ackermann**
Implements the Ackermann function, which is a classic example of a recursive function that can be used to test compilers and illustrate the concept of recursion.
2. 🔍 **BinarySearch**
Implements binary search to find an element in a sorted array. Binary search is an efficient algorithm for searching sorted data sets and relies on the divide-and-conquer technique.
3. ➕ **Factorial**
Calculates factorials recursively. Factorials are used in combinatorics and provide good examples of recursive functions.
4. 🔢 **Fibonacci**
Generates Fibonacci numbers recursively. The Fibonacci sequence illustrates recursion and has applications in mathematics and nature.
5. 💬 **FizzBuzz**
Prints numbers 1 to 100, but prints "Fizz" for multiples of 3, "Buzz" for multiples of 5, and "FizzBuzz" for multiples of both. This is a common interview screening question.
6. 👋 **HelloWorld**
Prints "Hello world!" - the traditional first program for beginner programmers.
7. ❄️ **MinTemperature**
Finds minimum temperature value from temperature data. Demonstrates algorithms for finding minimum/maximum values.
8. 🧑🏼💻 **Multisoft**
Swedish software company technical test solver.
9. 🔄 **Palindrome**
Checks if a string is a palindrome. Palindromes illustrate recursion and string manipulation.
10. ✔️ **Perfect**
Checks if a number is a perfect number, where the number equals the sum of its divisors. Interesting math and recursion example.
11. 🃏 **Poker**
Evaluates poker hands. Involves evaluating combinations and ranks of cards.
12. 🥇 **PrimeNumbers**
Checks if a number is prime, where a natural number greater than 1 has no positive divisors other than 1 and itself.
13. 🔄 **Rot13**
Encodes/decodes a string using the ROT13 cipher, a simple letter substitution cipher. Basic encryption example.
14. 🔑 **SimpleJWT**
Implements JSON Web Token (JWT) encoding and decoding.
15. 💹 **Stocks**
Return an array holding the names of the top three stocks with the best average performance given two separate arrays containing stocks names and prices.
16. 🔢 **Syracuse**
Implements the Syracuse algorithm/sequence. Interesting recursion and number theory example.
17. 🏗️ **TowerOfHanoi**
Implements the Tower of Hanoi algorithm. A classic algorithm that illustrates recursion and dynamic programming.
18. 🔄 **VonNeumann**
Generates Von Neumann ordinal numbers. Illustrates generating recursive sequences.
## ✅ Unit Tests
The `tests` directory in each folder contains test cases for testing the implementations of each algorithm.
## 🚀 Github Actions
This project uses Github Actions for continuous integration and testing. The `.github/workflows` directory contains YAML workflow definitions for:
- Linting: Runs `ESLint` to check code style and quality on every push and pull request.
- Testing: Runs `mocha` unit tests.
The workflows help maintain code quality and ensure the tests pass on latest node version.
## 📑 Documentation
Chai documentation is available here: [https://www.chaijs.com/guide](https://www.chaijs.com/guide)
Mocha documentation is available here: [https://mochajs.org/](https://mochajs.org)
ESLint documentation is available here: [https://eslint.org/docs/latest/use/getting-started](https://eslint.org/docs/latest/use/getting-started)
## 🌟 Inspiration
The following YouTube videos inspired the Node Lab project:
- [FizzBuzz: One Simple Interview Question](https://www.youtube.com/watch?v=QPZ0pIK_wsc)
- [Solve This Coding Question To Win $200](https://www.youtube.com/watch?v=WDuZ_S_9vLg)
- [The Most Difficult Program to Compute? - Computerphile](https://www.youtube.com/watch?v=i7sm9dzFtEI)
💻 Dependencies
---------------
**TangoMan Node Lab** requires the following dependencies:
- Node.js
- npm
### 🦖 Node.js
#### 🐧 Install Node.js (Linux)
On linux machine install node globally with the following commands (requires curl):
```bash
$ curl -sL https://deb.nodesource.com/setup_12.x | sudo -E bash -
$ sudo apt-get install --assume-yes nodejs
```
#### 🏁 Install Node.js (Windows)
Download and install recommended LTS version from here: [Node.js](https://nodejs.org/en/download)
#### 🍎 Install Node.js (OSX)
Download and install recommended LTS version from here: [Node.js](https://nodejs.org/en/download)
---
🔥 Usage
--------
Run `sh entrypoint.sh` to print help
Run tests:
```bash
sh entrypoint.sh unit
```
Lint code:
```bash
sh entrypoint.sh lint
```
Fix lint errors:
```bash
sh entrypoint.sh lint --fix
```
Uninstall:
```bash
sh entrypoint.sh uninstall
```
🤝 Contributing
---------------
Thank you for your interest in contributing to **TangoMan Node Lab**.
Please review the [code of conduct](./CODE_OF_CONDUCT.md) and [contribution guidelines](./CONTRIBUTING.md) before starting to work on any features.
If you want to open an issue, please check first if it was not [reported already](https://github.com/TangoMan75/node-lab/issues) before creating a new one.
📜 License
----------
Copyrights (c) 2024 "Matthias Morin" <mat@tangoman.io>
[](LICENSE)
Distributed under the MIT license.
If you like **TangoMan Node Lab** please star, follow or tweet about it:
[](https://github.com/TangoMan75/node-lab/stargazers)
[](https://github.com/TangoMan75)
[](https://twitter.com/intent/tweet?text=Wow:&url=https%3A%2F%2Fgithub.com%2FTangoMan75%2Fnode-lab)
... And check my other cool projects.