https://github.com/tangoman75/python-lab
TangoMan Python Lab is a Python coding project for practicing common interview questions and coding challenges.
https://github.com/tangoman75/python-lab
interview-questions practice python
Last synced: 3 months ago
JSON representation
TangoMan Python Lab is a Python coding project for practicing common interview questions and coding challenges.
- Host: GitHub
- URL: https://github.com/tangoman75/python-lab
- Owner: TangoMan75
- License: mit
- Created: 2023-05-14T23:22:23.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2025-10-08T16:16:43.000Z (10 months ago)
- Last Synced: 2025-10-08T17:29:27.759Z (10 months ago)
- Topics: interview-questions, practice, python
- Language: Shell
- Homepage: https://tangoman.io
- Size: 74.2 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/python-lab/releases)
[]((https://github.com/TangoMan75/python-lab/blob/main/LICENSE))
[](https://github.com/TangoMan75/python-lab/stargazers)
[](https://github.com/TangoMan75/python-lab/actions/workflows/python.yml)
🔬 TangoMan Python Lab
======================
#python #vanilla #back-end #training #interview #technical-interview
**🔬 TangoMan Python Lab** is a Python coding project for practicing common interview questions and coding challenges.
There are various Python 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. 🔄 **Palindrome**
Checks if a string is a palindrome. Palindromes illustrate recursion and string manipulation.
9. ✔️ **Perfect**
Checks if a number is a perfect number, where the number equals the sum of its divisors. Interesting math and recursion example.
10. 🃏 **Poker**
Evaluates poker hands. Involves evaluating combinations and ranks of cards.
11. 🥇 **PrimeNumbers**
Checks if a number is prime, where a natural number greater than 1 has no positive divisors other than 1 and itself.
12. 🔄 **Rot13**
Encodes/decodes a string using the ROT13 cipher, a simple letter substitution cipher. Basic encryption example.
13. 🔑 **SimpleJWT**
Implements JSON Web Token (JWT) encoding and decoding.
14. 💹 **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.
15. 🔢 **Syracuse**
Implements the Syracuse algorithm/sequence. Interesting recursion and number theory example.
16. 💸 **Taxes**
Calculates taxes on French incomes based on specified brackets.
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 `unittest` test cases for testing the implementations of each algorithm.
### 📑 unittest Documentation
unittest documentation is available here: [https://docs.python.org/3/library/unittest.html](https://docs.python.org/3/library/unittest.html)
🚀 Github Actions
-----------------
This project uses Github Actions for continuous integration and testing. The `.github/workflows` directory contains YAML workflow definitions for:
- Linting: Runs `pylint` to check code style and quality on every push and pull request.
- Testing: Runs the Python unit tests on Ubuntu, against python versions _3.8_ _3.9_ and _3.10_.
The workflows help maintain code quality and ensure the tests pass on multiple python versions.
🌟 Inspiration
--------------
The following YouTube videos inspired **TangoMan Python Lab** project:
- [Coding Challenge : JS Impot.calculate()](https://www.youtube.com/watch?v=cX-5J_cy8TM)
- [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 Python Lab** requires the following dependencies:
- Python3
---
### 🐍 Python3
#### 🐧 Install Python3 (Linux)
On linux machine enter following command
```bash
$ sudo apt-get install --assume-yes python3
```
#### 🏁 Install Python3 (Windows)
Download and install latest version from here [python.org](https://python.org)
#### 🍎 Install Python3 (OSX)
You can install python through the Homebrew package manager. Homebrew will install python-pip as well.
```bash
$ brew install python
```
---
### 🐍 Pylint
install pylint globally with pip
```bash
sudo pip install --upgrade pylint
```
> Pylint documentation https://github.com/pylint-dev/pylint
---
### 🐍 Autopep8
install autopep8 globally with pip
```bash
sudo pip install --upgrade autopep8
```
> Autopep8 documentation https://github.com/hhatto/autopep8
---
🚀 Installation
---------------
### ⚡ Step 1: Simply enter following command in your terminal
```bash
$ sh entrypoint.sh install
```
🔥 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 Python 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/python-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 Python Lab** please star, follow or tweet about it:
[](https://github.com/TangoMan75/python-lab/stargazers)
[](https://github.com/TangoMan75)
[](https://twitter.com/intent/tweet?text=Wow:&url=https%3A%2F%2Fgithub.com%2FTangoMan75%2Fpython-lab)
... And check my other cool projects.