Data Structures Algorithm DSA | Python+Javascript LEETCODE

What you’ll study

Widespread Knowledge Constructions similar to Arrays, Hash Desk,Linked Checklist,Binary timber,Graphs and so forth.

Actual Coding Interview Questions from Google, Meta,Amazon,Netflix ,Microsoft and so forth.

Time and House Complexity of Algorithms, Detailed Dialogue of Logic to unravel questions

Code Implementation in Javascript

Description

Welcome to the Coding Interview Bootcamp!

Join our Telegram Channel Chat with us on WhatsApp

When you get an interview from a prime tech firm, the one factor that issues so that you can get your dream Software program Engineering position is your efficiency within the coding Interviews.

The one strategy to ace the coding interview is to take one downside at a time and actually perceive find out how to remedy it after which do that for lots of issues to get adequate instruments and methods in your arsenal to face and conquer any coding interview. That is what my purpose is for you with this course.

This course is structured as DAILY CODING CHALLENGES to provide you a transparent goal for day by day. By not lacking a single day and by staying constant you’ll have solved a wide range of questions by the tip of this course, getting you ready for coding interviews and extra apply by yourself from Leetcode.

We begin proper from the fundamentals and talk about Massive O evaluation after which transfer on to cowl the frequent knowledge constructions after which talk about actual life issues requested in Massive Tech firms similar to Google, Meta, Amazon, Netflix, Apple, Microsoft and so forth.

For Every Query we talk about :

1. The Logic or the strategy by which we will method this query in an optimum method

2. The Time and House complexity of the Resolution

3. Code the Resolution in Javascript ( You possibly can comply with alongside in any coding language of your selection)

This course additionally contains a number of downloadable sources, trackers to maintain you motivated, and cheat sheets to make your coding interview prep easy.

COURSE OUTLINE

DAY 1: ArraysKnowledge Constructions IntroductionBig ODS: Arrays Crash CourseQuestion 1: Sorted Squared ArrayQuestion 2: Monotonic Array
DAY 2: ArraysQuestion 1: Rotate ArrayQuestion 2:Container with most Water
DAY 3: Hash TableDS: Hash Tables Crash CourseQuestion 1: Two SumQuestion 2:Isomorphic Strings
DAY 4: RecursionQuestion 1: FibonacciQuestion 2:Energy Sum
DAY 5: RecursionQuestion 1: PermutationsQuestion 2:Energy Set
DAY 6: StringDS: Strings Crash CourseQuestion 1: Non repeating characterQuestion 2: Palindrome
DAY 7: StringQuestion 1: Longest Distinctive char SubstringQuestion 2: Group Anagrams
DAY 8: SearchingQuestion 1: Binary SearchQuestion 2: Search in Rotated Sorted array
DAY 9: SearchingQuestion 1: Discover First and Final Place of Aspect in Sorted ArrayQuestion 2: Search in 2D Array
DAY 10: SortingQuestion 1: Bubble SortQuestion 2: Insertion Type
DAY 11: SortingQuestion 1: Choice SortQuestion 2: Merge Type
DAY 12: SortingQuestion 1: Fast SortQuestion 2: Radix Type
DAY 13: Singly Linked ListDS: Linked Checklist Crash CourseQuestion 1: Assemble SLLQuestion 2: delete duplicates
Day 14: Singly Linked ListQuestion 1: Reverse SLLQuestion 2: Cycle Detection
DAY 15: Singly Linked ListQuestion 1: discover duplicate numberQuestion 2: Add 2 numbers
DAY 16: Doubly Linked ListQuestion 1: DLL take away insertQuestion 2: DLL take away all, insert at place
DAY 17: StacksDS: Stacks Crash CourseQuestion 1: Assemble StackQuestion 2: Reverse Polish Notation
DAY 18: QueuesDS: Queues Crash CourseQuestion 1: Assemble QueueQuestion 2: Implement Queue with Stack
DAY 19: Binary Tree and Binary Search TreeDS: Binary Tree, Binary Search Tree Crash CourseQuestion 1: Assemble BSTQuestion 2: Traverse BST (Breadth first and Depth first – Inorder, Preorder,Publish order)
DAY 20: Binary Tree and Binary Search TreeQuestion 1: Stage Order traversalQuestion 2: Left/Proper View of binary tree
DAY 21: Binary Tree and Binary Search TreeQuestion 1: Invert Binary TreeQuestion 2: Diameter of binary tree
DAY 22: Binary Tree and Binary Search TreeQuestion 1: Convert Sorted Array to Binary Search TreeQuestion 2: Validate BST
DAY 23: Heaps and Precedence QueueDS: Heaps Crash CourseQuestion 1: Max Heap ConstructionQuestion 2: min Precedence Queue Development
DAY 24: GraphsDS: Graphs Crash CourseQuestion 1: BFS – Adj Checklist and Adj MatrixQuestion 2: DFS – Iterative and Recursive
DAY 25: GraphsQuestion 1: Variety of related componentsQuestion 2: Course Scheduler / Topological kind

I’m positive you’ll love this course and so we’re providing a full money-back assure for 30 days in case you aren’t positive in the intervening time!

Enroll right this moment and see you contained in the course !

Let’s make your goals come true

– Jackson

English

language

Content material

Day 1: Arrays

Welcome! make finest use of this course

Day 1 Targets

Introduction to Knowledge Constructions

Introduction to Massive O, Time Complexity

2 Asymptotic Evaluation and Massive O

Massive O House Complexity

Massive O Logarithm

Arrays: Knowledge Construction Crash Course

Arrange, Utilizing Debugger

Query 1: Sorted Squared Array

Technique 1, Massive O Evaluation

Code our resolution

Code walkthrough and Massive O evaluation

Technique 2

Code our resolution

Code walkthrough and Massive O evaluation

Query 2: Monotonic Array

Technique and Massive O evaluation

Code the answer, Massive O evaluation

Day 2: Arrays

Day 2 Targets

Query 1: Rotate Array

Technique and Massive O evaluation

Code the answer

Query 2: Container with most water

Technique 1 and Massive O evaluation

Code the answer

Code walkthrough and Massive O evaluation

Technique 2 and Massive O evaluation

Code the answer

Code walkthrough

Day 3: Hash Desk

Day 3 Targets

Hash Desk: Knowledge Construction Crash Course

Query 1: Two Sum

Technique 1, Massive O evaluation

Coding the options

Code Walkthrough

Technique 2, Massive O evaluation

Coding the answer

Code Walkthrough

Query 2: Isomorphic Strings

Technique and Massive O evaluation

Code the answer

Day 4 : Recursion

Day 4 Targets

Question1: Fibonacci

Technique 1 and Massive O evaluation

Code 1

Code walkthrough 1

Technique 2 and Massive O evaluation

Code 2

Code Walkthrough 2

Technique 3 and Massive O evaluation

Code 3

Code walkthrough 3

Query 2: Energy Sum

Technique and Massive O evaluation

Code

Code walkthrough

Day 5: Recursion

Day 5 Targets

Query 1: Permutations

Technique and Massive O evaluation

Code

Code Walkthrough

Query 4: All Sub units(Energy set)

Technique and Massive O evaluation

Code

Code walkthrough

Day 6 : String

Day 6 Targets

DS Crash Course: Strings

Query 1: First Non Repeating Character

Technique 1 and Massive O evaluation

Code

Code walkthrough

Technique 2 and Massive O evaluation

Code

Code walkthrough

Query 2: Is Palindrome ?

Technique 1 and Massive O evaluation

Code

Code Walkthrough

Technique 2 and Massive O evaluation

Code

Code Walkthrough

Technique 3 and Massive O evaluation

Code

Code Walkthrough

Day 7: String

Day 7 Targets

Query 1: Longest Sub string with Distinctive characters

Technique and Massive O evaluation

Code

Code walkthrough

Query 2: Group Anagrams

methodology and Massive O evaluation

code

Day 8: Looking

Day 8 Targets

Query 1 : Binary Search

Technique and Massive O evaluation

Code Iterative

Code Recursive

Query 2: Search in rotated sorted array

Technique and Massive O evaluation

Code

Day 9: Looking

Day 9 Targets

Query 1: Seek for vary

Technique and Massive O evaluation

Code Recursive

Code Iterative

Query 2: Search in Matrix

methodology and Massive O evaluation

code

Day 10: Sorting

Day 10 Targets

Query 1: Bubble Type

Technique and Massive O evaluation

Code

Code Walkthrough

Query 2: Insertion Type, Massive O evaluation

Code

Insertion kind is a secure kind

Day 11: Sorting

Day 11 Targets

Query 1: Choice Type, Massive O evaluation

Code

Query 2: Merge Type

Technique and Massive O evaluation

Code

Code Walkthrough

Day 12: Sorting

Day 12 Targets

Question1: Fast Type

Optimise Time Complexity

Optimise House Complexity

Code

Name stack walkthrough

Code walkthrough

Query 2: Radix Type, Massive O evaluation

Code

Day 13 Singly Linked Checklist

Day 13 Targets

Class Syntax

DS Crash Course: Linked Lists

Query 1: Design a Singly Linked Checklist

Technique and Massive O evaluation

Code

Query 2: Take away Duplicates

Technique and Massive O evaluation

Code

Code walkthrough

Day 14 Singly Linked Checklist

Day 14 Targets

Query 1: Reverse

Technique and Massive O evaluation

Code

Code walkthrough

Query 2 : Cycle Detection

Technique and Massive O evaluation

Code

proof

Day 15 : Singly Linked Checklist

Day 15 Targets

Query 1: Discover duplicate quantity

methodology and Massive O evaluation

code

Query 2: Add 2 numbers

methodology and Massive O evaluation

code

Day 16 Doubly Linked Checklist

Day 16 Targets

Query 1: Take away Node, Insert Node

Technique take away

Code take away

walkthrough take away

Insert Intro

Technique Insert

Insert code

Walkthrough Insert

Question2: Take away Worth, Insert at Place in Doubly Linked Checklist

Take away Val Technique

Code

Code walkthrough

Insert at Place

methodology

Code

Day 17: Stacks

Day 17 Targets

DS Crash Course: Stacks and Queues

Query 1: Design a Stack

Code

Question1: Reverse Polish Notation

methodology and Massive O evaluation

code

Day 18: Queue

Day 18 Targets

Query 1: Design a Queue

Code

Query 2 : Queue with Stack

methodology and Massive O evaluation

code

Day 19: Binary Tree / Binary Search Tree

Day 19 Targets

Query 1: Assemble Binary Search Tree,Massive O evaluation

Code

Code Walkthrough

Query 2 : Traverse – BFS and DFS,Massive O evaluation

Code

Walkthrough

Day 20: Binary Tree / Binary Search Tree

Day 20 Targets

Query 1 – Stage Order traversal

Insert methodology

Insert code

Stage Order Traversal Technique and Massive O evaluation

Code – Stage order traversal

Query 2 – Left / Proper view

Technique and Massive O evaluation

Code

Day 21: Binary Tree

Day 21 Targets

Query 1 : Invert Binary Tree

Iterative methodology and Massive O evaluation

Iterative Code

Recursive methodology and Massive O evaluation

Recursive code

Query 2 : Diameter of Binary Tree

Technique and Massive O evaluation

Code

Day 22: Binary Search Bushes

Day 22 Targets

Query 1: sorted array to BST

methodology and Massive O evaluation

code

Query 2 : Legitimate BST

Technique and Massive O evaluation

Code

Day 23: Heaps and Precedence Queue

Day 23 Targets

Query 1: Assemble Max Binary Heap, Massive O evaluation

Proof of Construct Binary Heap Time Complexity

Code

Code walkthrough

Query 2: Assemble Precedence Queue,Massive O evaluation

Code

Walkthrough

Day 24: Graphs

Day 24 Targets

Query 1: BFS, Adjacency Checklist,Massive O evaluation

Code

BFS, Adjacency Matrix

Code

Query 2: DFS, Recursive, Massive O evaluation

Code

DFS Iterative

Code

Day 25: Graphs

Day 25 Targets

Query 1: Variety of Elements, Massive O evaluation

Code, BigO

Query 2: Course Scheduler

Brute Pressure Technique and Massive O evaluation

Code – Brute Pressure Technique

Massive O – Brute Pressure Technique

Topological Type primarily based methodology and Massive O evaluation

Code

Code Walkthrough

The publish Knowledge Constructions Algorithm DSA | Python+Javascript LEETCODE appeared first on destinforeverything.com.

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Data Structures Algorithm DSA | Python+Javascript LEETCODE

Widespread Knowledge Constructions similar to Arrays, Hash Desk,Linked Checklist,Binary timber,Graphs and so forth.

Actual Coding Interview Questions from Google, Meta,Amazon,Netflix ,Microsoft and so forth.

Time and House Complexity of Algorithms, Detailed Dialogue of Logic to unravel questions

Code Implementation in Javascript

Day 1: Arrays

Day 2: Arrays

Day 3: Hash Desk

Day 4 : Recursion

Day 5: Recursion

Day 6 : String

Day 7: String

Day 8: Looking

Day 9: Looking

Day 10: Sorting

Day 11: Sorting

Day 12: Sorting

Day 13 Singly Linked Checklist

Day 14 Singly Linked Checklist

Day 15 : Singly Linked Checklist

Day 16 Doubly Linked Checklist

Day 17: Stacks

Day 18: Queue

Day 19: Binary Tree / Binary Search Tree

Day 20: Binary Tree / Binary Search Tree

Day 21: Binary Tree

Day 22: Binary Search Bushes

Day 23: Heaps and Precedence Queue

Day 24: Graphs

Day 25: Graphs

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