Data structure and algorithms for interviews

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What you’ll learn:
• Understand patterns behind common coding interview question
• Time and Space Complexity of Data Structures and Algorithms
• Solutions to problem discussed
• Code for solutions in Python
Description:

Covers around 200+ most popular coding interview problems ranging from a variety of topics

• Two Pointers
• Easy
• Pair with Target Sum
• Remove Duplicates
• Squaring a Sorted Array
• Medium
• Triplet Sum to Zero
• Triplet Sum Close to Target
• Triplets with Smaller Sum
• Subarrays with Product Less than a Target
• Dutch National Flag Problem
• Fast & Slow Pointers
• Easy
• Medium
• Happy Numbers
• Bitwise Manipulation
• Single Numbers
• Single Number II
• Single Number III
• Flipping the image
• Sliding Window
• Easy
• Maximum Sum Subarray of Size K
• Smallest Subarray With a Greater Sum
• Medium
• Longest Substring with maximum K Distinct Characters
• Hard
• Longest Substring with Distinct Characters
• Longest Substring with Same Letters after Replacement
• Longest Subarray with Ones after Replacement

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• Two Heaps
• Medium
• Find the median of a number stream
• Hard
• Maximum Capital
• Sliding Window Median
• Top k elements
• Easy
• Top ‘K’ Numbers
• Kth Smallest Number
• ‘K’ Closest Points to the Origin
• Connect Ropes
• Medium
• Top ‘K’ Frequent Numbers
• Frequency Sort
• Kth Largest Number in a Stream
• ‘K’ Closest Numbers
• Maximum Distinct Elements
• Sum of Elements
• Hard
• Rearrange String
• K-way merge
• Binary Search
• Greedy Technique
• Backtracking
• 1D Dynamic programing
• 2D Dynamic programing
• Cyclic Sort
• Topological Sort
• Stacks
• Queues
• Depth First Search
• Trie
• Hash Maps
• Math Tricks
• Miscellaneous
Who this course is for:
• Software Engineers who want to ace coding interviews in top tech firms

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