A walkthrough of "Longest Increasing Subsequence": why the natural DFS with backtracking solution blows up exponentially, and how dropping the in-progress sequence in favor of two indices makes the same recursion memoizable in O(n²) time.
A deeper look at "Contains Duplicate": why the brute force and sorting approaches fall short, how a hash set gets you to linear time, and when a plain boolean array beats hashing altogether.
A walkthrough of "Two Sum": why checking every pair is wasteful, and how reframing the problem around a complement value lets a single HashMap pass find the answer in linear time.
A walkthrough of "Valid Anagram": why sorting two strings works but isn't the cheapest option, and how a character frequency count gets you to linear time with constant extra space.
A walkthrough of "Group Anagrams": why comparing every pair of strings is too slow, and how turning each word into a canonical hash-map key groups them all in linear time.
A walkthrough of "Top K Frequent Elements": why sorting by frequency costs more than it needs to, and how bucket sort gets the answer in linear time by exploiting a bound on how large a frequency can ever be.
A concise summary of Cracking the Coding Interview highlighting the most important data structures, algorithms, and problem-solving strategies used in technical interviews.
When your Terraform configuration grows to manage dozens of environments across multiple applications, eventually you need to split things up. You can't just delete code and walk away. Do that, and Terraform will destroy your production infrastructure.
Turn malware into images and detect threats with Convolutional Neural Networks.
Discover how Random Forest classification can be used to spot anomalies in network traffic. This blog post dives into applying machine learning in InfoSec to boost threat detection accuracy and stay ahead of intruders in real time.