Neetcode 150 Roadmap - Arrays and Hashing
Channel: luckyleeds
Date: 2024-02-10

Arrays are fundamental data structures in computer science, providing a contiguous block of memory to store elements of the same type. They offer constant-time access to elements by index, enabling efficient retrieval and manipulation. However, searching for specific elements within an array can be inefficient, especially with large datasets. This is where hashing algorithms come into play. Hashing algorithms transform data into a fixed-size value, known as a hash code, which serves as a unique identifier for the original data. Hash tables, a common application of hashing, use these hash codes to store and retrieve data efficiently, offering constant-time average case performance for operations like insertion, deletion, and search. Hashing algorithms play a crucial role in optimizing the performance of various data structures and algorithms, enhancing the speed and efficiency of operations on arrays and other collections of data.

Questions covered in this video: 
Contains Duplicate: https://leetcode.com/problems/contains-duplicate/description/
Valid Anagram: https://leetcode.com/problems/valid-anagram/description/
Two Sum: https://leetcode.com/problems/two-sum/description/
Group Anagrams: https://leetcode.com/problems/group-anagrams/description/
Top K Frequent Elements: https://leetcode.com/problems/top-k-frequent-elements/description/
Product of Array Except Self: https://leetcode.com/problems/product-of-array-except-self/description/
Valid Sudoku: https://leetcode.com/problems/valid-sudoku/description/
String Encode and Decode: https://neetcode.io/problems/string-encode-and-decode
Longest Consecutive Sequence: https://leetcode.com/problems/longest-consecutive-sequence/description/

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