[Update Links] 50 Days of DSA PYTHON Data Structures & Algorithms LEETCODE

50 Days of DSA PYTHON Data Structures & Algorithms LEETCODE | Udemy [Update 02/2024]
English | Size: 17.28 GB
Genre: eLearning

Data Structures Algorithms, DSA ,BigO Analysis for every Question, Coding Interview,DP,Backtracking,Data Structures

What you’ll learn
Dynamic Programming, Backtracking Techniques
Common Data Structures such as Arrays, Hash Table,Linked List,Binary trees,Graphs etc.
Time and Space Complexity of Algorithms, Detailed Discussion of Logic to solve questions
Real Coding Interview Questions from Google, Meta,Amazon,Netflix ,Microsoft etc.
Boost your Problem solving skills

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: Arrays, Rotate Array, Container with Most Water

Day 20: Hash Tables, Two Sum, Isomorphic Strings

Day 21: Strings, Non-Repeating Character, Palindrome

Day 22: Strings, Longest Unique Substring, Group Anagrams

Day 23: Searching, Binary Search, Search in Rotated Sorted Array

Day 24: Searching, Find First and Last Position, Search in 2D Array

Day 25: Sorting, Bubble Sort, Insertion Sort

Day 26: Sorting, Selection Sort, Merge Sort

Day 27: Sorting, Quick Sort, Radix Sort

Day 28: Singly Linked Lists, Construct SLL, Delete Duplicates

Day 29: Singly Linked Lists, Reverse SLL, Cycle Detection

Day 30: Singly Linked Lists, Find Duplicate, Add 2 Numbers

Day 31: Doubly Linked Lists, DLL Remove Insert, DLL Remove All

Day 32: Stacks, Construct Stack, Reverse Polish Notation

Day 33: Queues, Construct Queue, Implement Queue with Stack

Day 34: Binary Trees, Construct BST, Traversal Techniques

Day 35: Pre order and In order Traversal of Binary Tree – Iterative

Day 36: Post Order Traversal Iterative, Path Sum 2

Day 37: Construct Binary Tree from Pre and In order Traversal ^ In and Post order Traversal

Day 38: Binary Trees, Level Order Traversal, Left/Right View

Day 39: Level order Trav 2, ZigZag Traversal

Day 40: Vertical order Traversal, Sum root to leaf numbers

Day 41: Binary Trees, Invert Tree, Diameter of Tree

Day 42: Binary Trees, Convert Sorted Array to BST, Validate BST

Day 43: Lowest common Ancestor of BST, Unique BST 2

Day 44: Lowest common Ancestor of Binary Tree, Unique BST 1

Day 45: Serialize and Deserialize Binary Tree, N-ary Tree Level Order Traversal

Day 46: Heaps, Max Heap, Min Priority Queue

Day 47: Graphs, BFS, DFS

Day 48: Graphs, Number of Connected Components, Topological Sort

Day 49: Number of Provinces, Find if path exists in Graph

Day 50: 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

Who this course is for:
Folks looking to get into top Tech companies in Software Engineering roles
Folks looking to ace the DSA part in Data Science Interview
Self taught programmers looking for their first job
Experienced developers wanting to get into MAANG companies ( top tech firms)

DOWNLOAD FROM RAPIDGATOR

DOWNLOAD FROM TURBOBIT

DOWNLOAD FROM NITROFLARE

If any links die or problem unrar, send request to
forms.gle/e557HbjJ5vatekDV9

[Update Links] 50 Days of DSA PYTHON Data Structures & Algorithms LEETCODE | Udemy

Leave a Comment Cancel reply