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An educational software to make Algorithm learning & implementation easier in python

Project description

eduAlgo

    

  

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Objective

A python package published at PyPi. The project can be viewed here => PyPi - eduAlgo.

Aim Of The Package

This is a very simple python package made up with python script to study different algorithms for educational purposes. This package is currently under planning version and aims to achieve the following :-

  • To put together all the available algorithms
  • Help students with learning space and time complexity
  • Visualizing Algorithms
  • Getting resources, articles etc. to study about python and Algorithms
  • Become a handy tool for the programmers while using different algorithms on daily basis

Organization

This project is a part of the organization eduAlgo.

We are an opensource organization having a few open-sourced projects on github related to Data structures and Algorithms in Python, Flutter Development & Frontend Development. chek the organization here - eduAlgo

Documentation

The documentation for the included methods and their implementations can be found here => eduAlgo-Documentation

Algorithms Yet to Publish

  • Searching Algorithms and Visualizations
  • Sorting Algorithms and Visualizations
  • Graph Algorithms and Visualizations
  • Linked List Implementations and Vizualizations
  • Tree Types, Vizualizations and Implementations

Installation

Fast install:

pip install eduAlgo

Example

from edualgo import LinkedList as ll
llist1 = ll.linkedlist()
llist2 = ll.linkedlist()

arr1 = list(map(int,input().split()))
arr2 = list(map(int,input().split()))

for i in arr1:
    llist1.append(i)

for i in arr2:
    llist2.append(i)

sol = ll.list_algorithms()

llist3 = ll.linkedlist()
llist3.head = sol.mergeTwoLists(llist1.head,llist2.head)
llist3.printLL()

Input:

  1 2 3
  2 3 4

Output:

  1 2 2 3 3 4

Project details


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Source Distribution

eduAlgo-1.2.1.4.tar.gz (18.0 kB view hashes)

Uploaded Source

Built Distribution

eduAlgo-1.2.1.4-py3-none-any.whl (20.6 kB view hashes)

Uploaded Python 3

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