Structura is a Python library that provides data structures that are implemented in C for better performance.
Its main purpose is to provide a simple and easy interface for data structures.
The name comes from the Latin word structura which means structure.
Contents
Structura is available on PyPI and can be installed with pip. It requires Python 3.5 or above.
pip install structuraFrom Source
git clone github.com/sekomer/structura
cd structura
sudo python3 setup.py installDetailed documentation can be found in the docs folder.
- Source code: https://github.com/sekomer/structura
- Documentation: https://github.com/Sekomer/structura/tree/main/docs
- Issue tracker: https://github.com/sekomer/structura/issues
Structura API follows the pythonic way of doing things. It has a simple and straightforward interface. Its works with any type of data and python objects. Heres a quick example of how to use it with RingBuffer data structure.
from structura import RingBuffer
buffer = RingBuffer(capacity=3)
buffer.enqueue(0) # [0]
buffer.enqueue(1) # [0, 1]
buffer.enqueue(2) # [0, 1, 2]
buffer.enqueue(3) # [1, 2, 3]
buffer.is_full() # True
buffer.peek() # 1
a = buffer.dequeue() # [2, 3]
b = buffer.dequeue() # [3]
c = buffer.dequeue() # []
print(a, b, c) # 1 2 3
for i in range(3):
buffer.enqueue(i)
buffer.clear() # []
buffer.is_empty() # TrueDetailed documentation and examples can be found in the docs folder
- 0.1.0
- RingBuffer
- 0.2.0
- Stack
- LinkedList
- 0.2.1
- Bug fixes
- Documentation
- 3.0.0
- Queue
- HashMap
- PriorityQueue
- Bug fixes
- 3.0.1
- Python version support added. (3.5 and above)
Trees, Ropes, Graphs, iterables.
All contributions, suggestions, and optimization ideas are welcome!
You can create an issue or mail me at a.serkanaksoz@gmail.com