coderzparadise 0.9.10

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

@CoderzParadise - Welcome to coding in paradise 🇺🇸 🇲🇽 🇪🇸 🇧🇷 🇵🇹

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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