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

    50day DSA PYTHON Patterns|Data Structures AlgorithmsLEETCODE

    Posted By: naag
    50day DSA PYTHON Patterns|Data Structures AlgorithmsLEETCODE

    50day DSA PYTHON Patterns|Data Structures AlgorithmsLEETCODE
    MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | 609 lectures | 50h 46m Duration | 9.32 GB
    Genre: eLearning | Language: English

    LEETCODE| Structured Approach to Ace Coding Interview - Dynamic Prog, Big O Analysis, Data Structures, Question Patterns

    Student Testimonials:
    "Amazing Course" - Erick Odhiambo Otieno
    "I never seen the best course in this learning platform. It is the best course if you want to understand DSA to the core. you should try it guys. thanks a lot sir for this best course." - Nibru Kefyalew
    "Great course!" - Shay Keren
    "Very thorough and methodical" - Shahjamal Biswas
    "Very intuitive and in-depth! so far" - Nikhil Valse
    "A good explanation for this problem." - Bhuvan Akoju
    "So far good explanation on DS ,recursion and quizzes." - Anuradha Yadavalli
    "the instructor is very good at explaining and simplifying complex concept. this course cover all the DSA module in depth withs great examples" - RODRIGUE NGONGANG
    "excellent" - Neha Nayak
    "Awesomly attractive course!" - Dariusz Jenek
    "Great one" - Wilson Edafe
    "Excellent Teaching" - Ameeruddin Syed
    "It is an excellent platform !!" - Subhajit Bera
    About the Course:
    Welcome to the Data Structures and Algorithms Coding Interview Bootcamp with Python!
    The primary goal of this course is to prepare you for coding interviews at top tech companies. By tackling one problem at a time and understanding its solution, you'll accumulate a variety of tools and techniques for conquering any coding interview.
    Daily Data Structures and Algorithms Coding Challenges:
    The course is structured around daily coding challenges. Consistent practice will equip you with the skills required to ace coding interviews. For the next 40 days commit to yourself to practice atleast 2 coding interview questions everyday. You don't need any setup for this as the daily coding problem challenges can be solved in the coding environment provided by Udemy. The course will automatically track your progress and you just need to spend your time making actual progress everyday.
    Topics Covered:
    We start from the basics with Big O analysis, then move on to very important algorithmic techniques such as Recursion, Backtracking and Dynamic Programming Patters. After this we move to cover common data structures, and discuss real problems asked in interviews at tech giants such as Google, Meta, Amazon, Netflix, Apple, and Microsoft.
    For each question, we will:
    Discuss the optimal approach
    Explain time and space complexity
    Code the solution in Python (you can follow along in your preferred language)
    Additional Resources :
    The course includes downloadable resources, motivational trackers, and cheat sheets.
    Course Outline:
    Day 1
    : Arrays, Big O, Sorted Squared Array, Monotonic Array
    Day 2:
    Recursion,k-th symbol in Grammar,Josephus problem
    Day 3:
    Recursion, Tower of Hanoi, Power Sum
    Day 4:
    Backtracking, Permutations, Permutations 2
    Day 5:
    Backtracking, Subsets, Subsets 2
    Day 6:
    Backtracking, Combinations, Combinations Sum 1
    Day 7:
    Backtracking,Combinations Sum 2,Combinations Sum 3
    Day 8:
    Backtracking,Sudoku Solver, N Queens
    Day 9:
    Dynamic Programming, Fibonacci, Climbing Stairs
    Day 10:
    Dynamic Programming, Min Cost Climbing Stairs, Tribonacci
    Day 11:
    Dynamic Programming, 01 Knapsack, Unbounded Knapsack
    Day 12:
    Dynamic Programming, Target Sum, Partition Equal Subset Sum
    Day 13:
    Dynamic Programming, LCS, Edit Distance
    Day 14:
    Dynamic Programming, LIS, Max Length of Pair Chain, Russian Doll Envelopes
    Day 15:
    Dynamic Programming, Palindromic Substrings, Longest Palindromic Substring, Longest Palindromic Subsequence
    Day 16:
    Dynamic Programming, Palindrome Partitioning, Palindrome Partitioning 2
    Day 17:
    Dynamic Programming, Word Break, Matrix Chain Multiplication
    Day 18:
    Dynamic Programming, Kadane's algorithm - Max Subarray, Maximum Product Subarray
    Day 19:
    Greedy Algorithms - Fractional Knpasack, Non overlapping Intervals
    Day 20:
    Greedy Algorithms - Jump Game 1, Minimum # of arrows to burst baloons
    Day 21:
    Greedy Algorithms - Two City Scheduling, Boats to Save people
    Day 22:
    Greedy Algorithms - Task Scheduler, Largest Number
    Day 23:
    Greedy Algorithms - Gas Stations,  Jump Game 2
    Day 24
    : Arrays, Rotate Array, Container with Most Water
    Day 25
    : Hash Tables, Two Sum, Isomorphic Strings
    Day 26
    : Strings, Non-Repeating Character, Palindrome
    Day 27
    : Strings, Longest Unique Substring, Group Anagrams
    Day 28
    : Searching, Binary Search, Search in Rotated Sorted Array
    Day 29
    : Searching, Find First and Last Position, Search in 2D Array
    Day 30
    : Sorting, Bubble Sort, Insertion Sort
    Day 31
    : Sorting, Selection Sort, Merge Sort
    Day 32
    : Sorting, Quick Sort, Radix Sort
    Day 33
    : Singly Linked Lists, Construct SLL, Delete Duplicates
    Day 34
    : Singly Linked Lists, Reverse SLL, Cycle Detection
    Day 35
    : Singly Linked Lists, Find Duplicate, Add 2 Numbers
    Day 36
    : Doubly Linked Lists, DLL Remove Insert, DLL Remove All
    Day 37
    : Stacks, Construct Stack, Reverse Polish Notation
    Day 38
    : Queues, Construct Queue, Implement Queue with Stack
    Day 39
    : Binary Trees, Construct BST, Traversal Techniques
    Day 40:
     Pre order and In order Traversal of Binary Tree - Iterative
    Day 41:
     Post Order Traversal Iterative, Path Sum 2
    Day 42:
     Construct Binary Tree from Pre and In order Traversal ^ In and Post order Traversal
    Day 43
    : Binary Trees, Level Order Traversal, Left/Right View
    Day 44:
     Level order Trav 2, ZigZag Traversal
    Day 45
    : Vertical order Traversal, Sum root to leaf numbers
    Day 46
    : Binary Trees, Invert Tree, Diameter of Tree
    Day 47
    : Binary Trees, Convert Sorted Array to BST, Validate BST
    Day 48
    : Lowest common Ancestor of BST, Unique BST 2
    Day 49
    : Lowest common Ancestor of Binary Tree, Unique BST 1
    Day 50
    : Serialize and Deserialize Binary Tree, N-ary Tree Level Order Traversal
    Day 51
    : Heaps, Max Heap, Min Priority Queue
    Day 52
    : Graphs, BFS, DFS
    Day 53
    : Graphs, Number of Connected Components, Topological Sort
    Day 54:
     Number of Provinces, Find if path exists in Graph
    Day 55:
     Number of Islands, Numbers with same consecutive differences
    My confidence in your satisfaction with this course is so high that we offer a complete money-back guarantee for
    30 days!
    Thus, it's a totally risk-free opportunity.
    Register today, facing ZERO risk and standing to gain EVERYTHING.
    So what are you waiting for? Join the best
    Python Data Structures & Algorithms
    Bootcamp on Udemy.
    I'm eager to see you in the course.
    Let's kick things off! :-)
    Jackson