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What you’ll learn:
-
Understand patterns behind common coding interview question
-
Time and Space Complexity of Data Structures and Algorithms
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Solutions to problem discussed
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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
- Easy
- Fast & Slow Pointers
- Easy
- Middle of the LinkedList
- LinkedList Cycle
- Medium
- Start of LinkedList Cycle
- Happy Numbers
- Easy
- 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
- Fruits into Baskets
- Hard
- Longest Substring with Distinct Characters
- Longest Substring with Same Letters after Replacement
- Longest Subarray with Ones after Replacement
- Easy
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- Two Heaps
- Medium
- Find the median of a number stream
- Hard
- Maximum Capital
- Sliding Window Median
- Medium
- 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
- Easy
- K-way merge
- Binary Search
- Greedy Technique
- Backtracking
- 1D Dynamic programing
- 2D Dynamic programing
- Cyclic Sort
- Topological Sort
- Stacks
- Queues
- Depth First Search
- Breadth 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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Free 12800 100% off
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