Dynamic Programming Knapsack Patterns: 0/1, Unbounded, Subset Sum
Knapsack problems are the most important dynamic programming pattern class. Mastering 0/1 knapsack, unbounded knapsack, and their variants (subset sum, […]
Algorithms
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Algorithms
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.
Algorithms
Sliding Window and Two Pointer Interview Patterns
Sliding window and two pointer techniques are among the most frequently tested patterns in coding interviews. They convert O(n²) or
Algorithms
Trie and String Algorithm Interview Patterns
Tries (prefix trees) and string algorithms appear in autocomplete, spell checking, IP routing, and competitive programming. Mastering trie construction and
Algorithms
Heap and Priority Queue Interview Patterns
When to Use a Heap A heap (priority queue) is the right data structure when you need: the minimum or
Algorithms
Dynamic Programming Patterns: Tree DP, Digit DP, and Bitmask DP
Beyond Basic DP Once you’ve mastered 1D/2D tabulation and memoization (Fibonacci, LCS, Knapsack, Coin Change), advanced interview problems require recognizing
Algorithms
Scala Interview Questions: Functional Programming, Case Classes, and Akka (2025)
Scala Interview Overview Scala is the language of Apache Spark, Kafka (originally), Akka, and many financial systems. Interviews at data
Algorithms
Hash Table and HashMap Interview Deep Dive
Why Hash Tables? Hash tables provide O(1) average-case lookup, insertion, and deletion — making them the most versatile data structure
Algorithms
PHP Interview Questions (2025): OOP, Performance, and Modern PHP
PHP Interview Questions Overview PHP powers 77% of websites with a server-side language (including WordPress, Facebook’s HHVM era, Shopify’s partner
Algorithms
String and Array Manipulation Interview Patterns
String and Array Patterns Overview String and array manipulation problems are a staple of coding interviews at every level. The
Algorithms
Ruby on Rails Interview Questions (2025)
Rails Interview Questions Overview Ruby on Rails powers Shopify, GitHub (partially), Airbnb, and many startups. Senior Rails interviews test deep
Algorithms
Interval and Greedy Interview Patterns: Meeting Rooms, Job Scheduling, and Activity Selection
Why Greedy and Interval Problems Greedy algorithms appear frequently in FAANG interviews because they test whether you can identify when
Algorithms
Segment Tree and Fenwick Tree: Range Query Interview Patterns
When to Use Range Query Data Structures Range query problems appear frequently in senior engineering interviews and competitive programming: “find
Algorithms
Swift and iOS Interview Questions (2025)
Swift Interview Questions Overview iOS engineering roles at Apple, Airbnb, Uber, and fintech companies require deep Swift knowledge. Interviewers test
Algorithms
Java Interview Questions: JVM Internals, Concurrency, and Design Patterns (2025)
Senior Java interviews at Google, Amazon, LinkedIn, and enterprise shops go deep on JVM internals, concurrency, and the language semantics
Algorithms
Bit Manipulation Interview Patterns: A Complete Guide (2025)
Bit manipulation problems appear at Google, Meta, and Amazon interviews. They test low-level reasoning and often offer O(1) space solutions