A collection of Python data structures for educational purposes
Project description
PyHelper
Python implementations of fundamental data structures for learning and practical use.
What is this?
PyHelper provides clean, well-tested implementations of common data structures:
- Lists: Linked, Double, Circular
- Graphs: Unified Graph class + specialized types (Undirected, Directed, Weighted) with visualization & graph theory operations
- Skip Lists: Deterministic and Probabilistic
Prerequisites
pip install networkx matplotlib pytest
Installation
Install from local directory (for development)
pip install -e .
Install from local directory (regular installation)
pip install .
Install from GitHub
pip install git+https://github.com/Djey8/PyHelper.git
Install from PyPI
pip install pyhelper-jkluess
Quick Start
Linked List
from Basic.Lists.linked_list import LinkedList
ll = LinkedList()
ll.append(10)
ll.append(20)
ll.print_list() # 10 -> 20 -> None
Graph (Unified Class - Recommended)
from Complex.Graphs.graph import Graph
# Create any graph type with parameters
g = Graph(directed=False, weighted=True)
g.add_edge("A", "B", 10)
print(g.get_neighbors("A")) # ['B']
print(g.get_edge_weight("A", "B")) # 10
g.visualize() # Opens matplotlib window
# Or use specialized classes
from Complex.Graphs.undirected_graph import UndirectedGraph
g2 = UndirectedGraph()
g2.add_edge("A", "B")
Skip List
from Complex.SkipLists.probabilisticskiplist import ProbabilisticSkipList
sl = ProbabilisticSkipList()
sl.add(10)
sl.add(20)
print(sl.find(10)) # 10
Structure
PyHelper/
├── Grundlegende_Datenstrukuren/ # Basic data structures (Lists)
├── Complex/Graphs/ # Graph data structures
└── Complex/SkipLists/ # Skip list implementations
Documentation
- Basic Lists - LinkedList, DoubleLinkedList, CircularLinkedList
- Graphs - Graph (unified), UndirectedGraph, DirectedGraph, WeightedUndirectedGraph, WeightedDirectedGraph
- Includes: Paths, cycles, connectivity, adjacency matrices, Dijkstra's algorithm
- NEW: Unified
Graphclass adapts to all 4 types based on initialization
- Skip Lists - SkipList, ProbabilisticSkipList
Testing
pytest tests/ -v # 184 tests
License
MIT License
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