Mastering Data Structures: The Foundation of Efficient Software
December 24, 2025
Data structures for efficient software: arrays, linked lists, stacks, queues, trees, hash maps, heaps. Big-O trade-offs and when each structure actually wins.
#algorithms
Algorithms for Beginners: A Friendly Deep Dive
September 23, 2025
A comprehensive beginner's guide to algorithms, explained in a warm, approachable way with real examples, insights from Lisp, and step-by-step exploration.
Mastering the Coding Interview: A Complete Deep-Dive Guide
September 19, 2025
Prepare for coding interviews with this in-depth, friendly guide that covers strategies, pitfalls, and real-world insights into technical interviews.
10 Algorithms That Changed Computer Science Forever
September 18, 2025
10 algorithms that changed computer science forever: from Dijkstra and binary search to PageRank, RSA, and backprop. Why each still shows up in modern systems.
Explain Dynamic Programming and Other Techniques with Examples
Updated: September 16, 2025
Dynamic programming in JavaScript 2026: memoization, tabulation, state design — walked through classic LeetCode problems with runnable JS and TypeScript code.
Explain Dynamic Programming and Other Techniques With Examples
Updated: March 27, 2026
Dynamic programming with worked examples: memoization, tabulation, classic LeetCode patterns, and when DP beats greedy, divide-and-conquer, or brute force.
Project Euler Problems 1-5: Solutions With Math & Python
Updated: March 27, 2026
Project Euler problems 1-5: divisibility, Fibonacci, primes, palindromes, LCM. See brute-force vs optimized Python solutions with complexity analysis.
Project Euler Problems 11-15: Grids, Divisors & Combinatorics
Updated: March 27, 2026
Solve Project Euler problems 11-15: grid products, divisors, Collatz sequences, lattice paths. Dynamic programming and combinatorics with Python code.
Project Euler Problems 6-10: Primes, Squares & Sequences
Updated: March 27, 2026
Solve Project Euler problems 6-10 with Python: sums of squares, prime generation, digit products, Pythagorean triples, sieve algorithms. Full explanations.