semvec/pypi-packages huggingface dataset:
mercurytools 1.0.0
python package to implement data structures
License: MIT

# mercurytools

[![PyPI Version](https://badge.fury.io/py/your-package-name.svg)](https://pypi.org/project/mercurydsa/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE)

Data Structures as a python package

---

## 🚀 Features

- **Linked List**: an advanced LinkedList class to experiment the working of linked lists
- **Deque**: Deque class with hybrid functionalities
- **Stack**: simple Stack class with the necessary functions

## 📦 Installation

Install the package using pip:
```bash
pip install mercurytools

mercurytools-version
```

## 🔧 Example Usage
```py
from mercurytools import *

ll=LinkedList()
dq=Deque()
s=Stack()
```

## 🛠️ Development Setup
- clone repository:
```bash
git clone https://github.com/waltermichelraja/mercurytools.git
```

## 📄 License
This project is licensed under the MIT License, checkout the [license](https://github.com/waltermichelraja/mercurytools/blob/main/README.md) file for further details. 

## 🐛 Bug Reports
If you encounter any issues or bugs, please open an issue on [issues](https://github.com/waltermichelraja/mercurytools/issues)

---
controltheorylib 1.0.0
Control Theory Library for creating mathematical animations with Manim
License: MIT
Requires Python: >=3.8

## Description
Controltheorylib is a Python library designed for creating high-quality mathematical animations related to control theory using Manim. It helps visualize concepts such as transfer functions, Bode plots, Nyquist plots, state-space representations, and system dynamics. Example animations which implement the functions provided in this library can be found in the examples folder. 

## Philosophy
The core philosophy behind Controltheorylib is to make control theory concepts more accessible and intuitive through visualization. By leveraging the power of Manim, this library aims to bridge the gap between theoretical understanding and practical application. It is designed to help students, educators, and engineers gain deeper insights into dynamic systems and their behaviors through engaging animations.

## Getting started 
### Installation Dependicies
To install the dependicies, copy-paste the following line of code in your system terminal or command prompt:

`pip install -r requirements.txt`

To install the library, copy-paste the following line of code in your system terminal or command prompt:

`pip install controltheorylib`

## More details
For more details, check the documentation website [here](https://controltheorylibrary.readthedocs.io/en/latest/index.html).

## Contact
For questions or support, reach out via:
+ GitHub Issues: Open an issue
+ Email: j.r.k.stammen@student.tue.nl