coderzparadise 0.9.7

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

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()

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Installation (How To Get Started)

1. Install pip package in your terminal (command prompt)

pip install coderzparadise

2. Use the examples below in your code :)

3. 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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GitHub Repo:

Coderz Paradise

Youtube Channel:

Coderz Paradise

Soundcloud:

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