Dynamic Programming Knapsack Patterns: 0/1, Unbounded, Subset Sum
7 min read Knapsack problems are the most important dynamic programming pattern class. Mastering 0/1 knapsack, unbounded knapsack, and their variants (subset sum, […] Read article
Master fundamental and advanced algorithms essential for technical interviews at top companies. This category covers sorting algorithms, search algorithms, graph algorithms, and optimization techniques that form the foundation of computer science problem-solving.
What You’ll Learn:
Sorting algorithms: Quick sort, merge sort, heap sort
Search techniques: Binary search and variations
Graph algorithms: DFS, BFS, Dijkstra’s, topological sort
Optimization: Dynamic programming, greedy algorithms
Time and space complexity analysis
Difficulty Progression: Start with basic sorting and searching, then progress to graph algorithms and dynamic programming.
Interview Frequency: Extremely high – algorithms appear in 80%+ of technical interviews at Google, Amazon, Facebook, Microsoft, and Apple.
7 min read Knapsack problems are the most important dynamic programming pattern class. Mastering 0/1 knapsack, unbounded knapsack, and their variants (subset sum, […] Read article
7 min read Sliding window and two pointer techniques are among the most frequently tested patterns in coding interviews. They convert O(n²) or Read article
8 min read Tries (prefix trees) and string algorithms appear in autocomplete, spell checking, IP routing, and competitive programming. Mastering trie construction and Read article
7 min read When to Use a Heap A heap (priority queue) is the right data structure when you need: the minimum or Read article
12 min read Beyond Basic DP Once you’ve mastered 1D/2D tabulation and memoization (Fibonacci, LCS, Knapsack, Coin Change), advanced interview problems require recognizing Read article
10 min read Scala Interview Overview Scala is the language of Apache Spark, Kafka (originally), Akka, and many financial systems. Interviews at data Read article
4 min read Why Hash Tables? Hash tables provide O(1) average-case lookup, insertion, and deletion — making them the most versatile data structure Read article
4 min read PHP Interview Questions Overview PHP powers 77% of websites with a server-side language (including WordPress, Facebook’s HHVM era, Shopify’s partner Read article
4 min read String and Array Patterns Overview String and array manipulation problems are a staple of coding interviews at every level. The Read article
5 min read Rails Interview Questions Overview Ruby on Rails powers Shopify, GitHub (partially), Airbnb, and many startups. Senior Rails interviews test deep Read article
6 min read Why Greedy and Interval Problems Greedy algorithms appear frequently in FAANG interviews because they test whether you can identify when Read article
5 min read When to Use Range Query Data Structures Range query problems appear frequently in senior engineering interviews and competitive programming: “find Read article
9 min read Swift Interview Questions Overview iOS engineering roles at Apple, Airbnb, Uber, and fintech companies require deep Swift knowledge. Interviewers test Read article
9 min read Senior Java interviews at Google, Amazon, LinkedIn, and enterprise shops go deep on JVM internals, concurrency, and the language semantics Read article
8 min read Bit manipulation problems appear at Google, Meta, and Amazon interviews. They test low-level reasoning and often offer O(1) space solutions Read article