Pygorithm module in Python

The Pygorithm module is an educational Python library containing implementations of various algorithms and data structures. Its primary purpose is to provide ready-to-use algorithm code for learning and practical applications in data processing.

Installation

Install Pygorithm using pip ?

pip install pygorithm

Finding Available Data Structures

After installation, you can explore the various data structures included in the package ?

from pygorithm import data_structures
help(data_structures)

The output shows all available data structures ?

Help on package pygorithm.data_structures in pygorithm:
NAME
    pygorithm.data_structures - Collection of data structure examples

PACKAGE CONTENTS
    graph
    heap
    linked_list
    quadtree
    queue
    stack
    tree
    trie

DATA
    __all__ = ['graph', 'heap', 'linked_list', 'queue', 'stack', 'tree', '...

Getting Algorithm Source Code

You can retrieve the actual implementation code of any algorithm using the get_code() method ?

from pygorithm.data_structures.queue import Queue

the_queue = Queue()
print(the_queue.get_code())

This displays the complete Queue class implementation ?

class Queue(object):
    """Queue
    Queue implementation
    """
    def __init__(self, limit=10):
        """
        :param limit: Queue limit size, default @ 10
        """
        self.queue = []
        self.front = None
        self.rear = None
        self.limit = limit
        self.size = 0
.....................
..................

Applying Sorting Algorithms

Pygorithm provides various sorting algorithms that can be applied directly to your data ?

from pygorithm.sorting import quick_sort

numbers = [3, 9, 5, 21, 2, 43, 18]
sorted_numbers = quick_sort.sort(numbers)
print(sorted_numbers)

[2, 3, 5, 9, 18, 21, 43]

Common Use Cases

Conclusion

Pygorithm serves as an excellent educational tool for understanding algorithm implementations and provides practical sorting and data structure solutions for real programming tasks. Use get_code() to study implementations and apply algorithms directly to your datasets.