Tags
Language
Tags
June 2025
Su Mo Tu We Th Fr Sa
1 2 3 4 5 6 7
8 9 10 11 12 13 14
15 16 17 18 19 20 21
22 23 24 25 26 27 28
29 30 1 2 3 4 5
    Attention❗ To save your time, in order to download anything on this site, you must be registered 👉 HERE. If you do not have a registration yet, it is better to do it right away. ✌

    ( • )( • ) ( ͡⚆ ͜ʖ ͡⚆ ) (‿ˠ‿)
    SpicyMags.xyz

    Data Structures | Algorithms:CODING INTERVIEW 25Days of Code

    Posted By: lucky_aut
    Data Structures | Algorithms:CODING INTERVIEW 25Days of Code

    Data Structures | Algorithms:CODING INTERVIEW 25Days of Code
    Duration: 34h 53m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 12.2 GB
    Genre: eLearning | Language: English

    34 Hours | Big O | Javascript | Leetcode | DSA | Coding Interview | Data Structures | Algorithsm

    What you'll learn:
    Common Data Structures such as Arrays, Hash Table,Linked List,Binary trees,Graphs etc.
    Real Coding Interview Questions from Google, Meta,Amazon,Netflix ,Microsoft etc.
    Time and Space Complexity of Algorithms, Detailed Discussion of Logic to solve questions
    Code Implementation in Javascript

    Requirements:
    Basic knowledge of Javascript or any other Programming language ( things like write a loop, function etc)

    Description:
    Welcome to the Coding Interview Bootcamp!
    Once you get an interview from a top tech company, the only thing that matters for you to get your dream Software Engineering role is your performance in the coding Interviews.
    The only way to ace the coding interview is to take one problem at a time and really understand how to solve it and then do this for a lot of problems to get sufficient tools and techniques in your arsenal to face and conquer any coding interview. This is what my aim is for you with this course.
    This course is structured as DAILY CODING CHALLENGES to give you a clear target for every day. By not missing a single day and by staying consistent you will have solved a variety of questions by the end of this course, getting you prepared for coding interviews and more practice on your own from Leetcode.
    We start right from the basics and discuss Big O analysis and then move on to cover the common data structures and then discuss real life problems asked in Big Tech companies such as Google, Meta, Amazon, Netflix, Apple, Microsoft etc.
    For Each Question we discuss :
       1. The Logic or the method by which we can approach this question in an optimal manner
       2. The Time and Space complexity of the Solution
       3. Code the Solution in Javascript ( You can follow along in any coding language of your choice)
    This course also includes multiple downloadable resources, trackers to keep you motivated, and cheat sheets to make your coding interview prep smooth.
    COURSE OUTLINE
    DAY 1: Arrays
    Data Structures Introduction
    Big O
    DS: Arrays Crash Course
    Question 1: Sorted Squared Array
    Question 2: Monotonic Array
    DAY 2: Arrays
    Question 1: Rotate Array
    Question 2:Container with most Water
    DAY 3: Hash Table
    DS: Hash Tables Crash Course
    Question 1: Two Sum
    Question 2:Isomorphic Strings
    DAY 4: Recursion
    Question 1: Fibonacci
    Question 2:Power Sum
    DAY 5: Recursion
    Question 1: Permutations
    Question 2:Power Set
    DAY 6: String
    DS: Strings Crash Course
    Question 1: Non repeating character
    Question 2: Palindrome
    DAY 7: String
    Question 1: Longest Unique char Substring
    Question 2: Group Anagrams
    DAY 8: Searching
    Question 1: Binary Search
    Question 2: Search in Rotated Sorted array
    DAY 9: Searching
    Question 1: Find First and Last Position of Element in Sorted Array
    Question 2: Search in 2D Array
    DAY 10: Sorting
    Question 1: Bubble Sort
    Question 2: Insertion Sort
    DAY 11: Sorting
    Question 1: Selection Sort
    Question 2: Merge Sort
    DAY 12: Sorting
    Question 1: Quick Sort
    Question 2: Radix Sort
    DAY 13: Singly Linked List
    DS: Linked List Crash Course
    Question 1:  Construct SLL
    Question 2: delete duplicates
    Day 14: Singly Linked List
    Question 1:  Reverse SLL
    Question 2: Cycle Detection
    DAY 15: Singly Linked List
    Question 1: find duplicate number
    Question 2: Add 2 numbers
    DAY 16: Doubly Linked List
    Question 1: DLL remove insert
    Question 2: DLL remove all, insert at position
    DAY 17: Stacks
    DS: Stacks Crash Course
    Question 1:  Construct Stack
    Question 2: Reverse Polish Notation
    DAY 18: Queues
    DS: Queues Crash Course
    Question 1: Construct Queue
    Question 2: Implement Queue with Stack
    DAY 19: Binary Tree and Binary Search Tree
    DS: Binary Tree, Binary Search Tree Crash Course
    Question 1: Construct BST
    Question 2: Traverse BST (Breadth first and Depth first - Inorder, Preorder,Post order)
    DAY 20: Binary Tree and Binary Search Tree
    Question 1: Level Order traversal
    Question 2: Left/Right View of binary tree
    DAY 21: Binary Tree and Binary Search Tree
    Question 1: Invert Binary Tree
    Question 2: Diameter of binary tree
    DAY 22: Binary Tree and Binary Search Tree
    Question 1: Convert Sorted Array to Binary Search Tree
    Question 2: Validate BST
    DAY 23: Heaps and Priority Queue
    DS: Heaps Crash Course
    Question 1: Max Heap Construction
    Question 2: min Priority Queue Construction
    DAY 24: Graphs
    DS: Graphs Crash Course
    Question 1:  BFS - Adj List and Adj Matrix
    Question 2: DFS - Iterative and Recursive
    DAY 25: Graphs
    Question 1: Number of connected components
    Question 2: Course Scheduler / Topological sort
    I'm sure you'll love this course and so we're offering a full money-back guarantee for 30 days in case you are not sure at the moment!
    Enroll today and see you inside the course !
    Let's make your dreams come true
    - Jackson

    Who this course is for:
    Students who are about to graduate and trying to get into top Tech companies as software engineers
    Self taught programmers looking for their first job
    Experienced developers wanting to get into MAANG companies ( top tech firms)

    More Info