Skip to content

prbn021/data-structure-and-algorithms

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

26 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

A study on data structure and algorithms by prbn.

A solid understanding of the relationship between data structures and algorithms.

Algorithms and Data structures are the tools for a programmer to create a system.

First, you learn about Big O notations.

With this you can make good decisions about how to code, because it allows you to evaluate the efficiency of your code's algorithms, based on computational complexity.

An efficient way of doing things...

algorithms and data structures are the tools for a programmer to create a system.

  • data structures are used to organize information.
  • algorithms are the instructions for processing this information.

A system can be made in "n" ways, one of them is Object Oriented Programming, using:

  • classes / objects
  • methods / inheritance

with P.O.O. we can...

  1. Make data structures like Stack and Linked List became classes.
  2. Make Algorithms methods of these classes.
  3. Make simpler or more widely used data structures and algorithms be used through inheritance.
// Building a linked list to exemplify

class Node {
    constructor(value) {...}
}

class LinkedList {
    // algorithms
    constructor(value) {...}
    push(value) {...}
    unshift(value) {...}
    insert(index, value) {...}
    remove(index) {...}
    pop() {...}
    shift() {...}
}

// some of the things we can do by building linked list class.
let myLinkedList = new LinkedList(25)
myLinkedList.push(9)
myLinkedList.unshift(3)
myLinkedList.insert(1, 15)
myLinkedList.remove(1)
myLinkedList.pop()
myLinkedList.shift()

About

training Go and Java Script.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published