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A package made from scratch by CoderzParadise that makes using Data Structures as easy as possible for humans and AI.

Project description

Data Structure

Organized way to store and manage data.

Index Data Structure Class Name
0 Binary Search Tree BST()
1 Disjoint Forrest Set DSF(int::size)
2 Graph - Adjacency List AdjacencyList(list::nodes)
3 Graph - Adjacency Matrix AdjacencyList(list::nodes)
4 Graph - Edge List EdgeList(list::nodes)
5 HashMap HashMap(int::size)
6 Heap Heap()
7 LinkedList LinkedList()
8 Queue Queue()
9 Set Set()
10 Stack Stack()
11 Trie() Trie()

Installation && How To Get Started

  1. Install library in your terminal using pip
pip install coderzparadise
  1. Use the examples below in your code :)

  2. Done!

Binary Search Tree

from coderzparadise import DataStructure

b = DataStructure.BST()

b.insert(50)
b.insert(75)
b.insert(25)
b.insert(100)
b.insert(95)

b.display()

DisjointForrestSet

from coderzparadise import DataStructure

d = DataStructure.DSF(10) #parameter: (integer) 10 is setting size of disjointforrestset.

d.insert(0, 1)
d.insert(0, 3)
d.insert(0, 5)
d.insert(0, 7)
d.insert(0, 9)
d.insert(2, 4)
d.insert(2, 6)

number_of_sets_found = d.num_of_sets()
print('dsf num of sets: ', number_of_sets_found,\n)

d.display()

Graph - Adjacency List

from coderzparadise import DataStructure

a = DataStructure.AdjacencyList([0,1,2,3,4,5,6,7,8,9]) #parameter: list is nodes that make up the graph.

a.insert(9, 1)
a.insert(9, 2)
a.insert(9, 3)
a.insert(9, 4)
a.insert(0, 5)
a.insert(0, 3)

a.display()

Graph - Adjacency Matrix

from coderzparadise import DataStructure

a = DataStructure.AdjacencyMatrix([0,1,2,3,4,5,6,7,8,9]) #parameter: list is nodes that make up the graph.

a.insert(9, 1)
a.insert(9, 2)
a.insert(9, 3)
a.insert(9, 4)
a.insert(0, 5)
a.insert(0, 3)

a.display()

Graph - EdgeList

from coderzparadise import DataStructure

e = DataStructure.AdjacencyMatrix([0,1,2,3,4,5,6,7,8,9]) #paramter: list is nodes that make up the graph.

e.insert(9, 1)
e.insert(9, 2)
e.insert(9, 3)
e.insert(9, 4)
e.insert(0, 5)
e.insert(0, 3)

e.display()

Hash Map

from coderzparadise import DataStructure

h = HashMap(2) #parameter: (integer) 2 is setting up the inital size of hashmap.

h.insert('soccer')
h.insert('soccer')
h.insert('basketball')
h.insert('pizza')
h.insert('hamburger')

h.display()

Heap

from coderzparadise import DataStructure

h = Heap()

h.insert(16)
h.insert(16)
h.insert(37)
h.insert(28)
h.insert(49)
h.insert(21)
h.insert(5)

h.display()

Linked List

from coderzparadise import DataStructure

ll = DataStructure.LinkedList()

ll.insert(75)
ll.insert(75)
ll.insert(80)
ll.insert(81)
ll.insert(99)
ll.insert(2)
ll.insert(77)

ll.display()

Queue

from coderzparadise import DataStructure

q = DataStructure.Queue()

q.insert(10)
q.insert(10)
q.insert(20)
q.insert(30)
q.insert(40)
q.insert(50)

q.display()

Set

from coderzparadise import DataStructure

ll = DataStructure.Set()

s.insert(10)
s.insert(10)
s.insert(20)
s.insert(50)
s.insert(50)
s.insert(50)
s.insert(50)
s.insert(30)

s.display()

Stack

from coderzparadise import DataStructure

s = DataStructure.Stack()

s.insert(10)
s.insert(10)
s.insert(20)
s.insert(30)
s.insert(40)
s.insert(50)

s.display()

Trie

from coderzparadise import DataStructure

t = DataStructure.Trie()
t.insert("socks")
t.insert("soccer")
t.insert("colors")
t.search_word("sock")
t.search_word("socks")
t.is_prefix("b")
t.is_prefix("s")



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