📚 SERIES
Data Structures & Algorithms
A practical, Staff-level guide to mastering DSA for coding interviews. Each part focuses on patterns and reasoning, not memorization.
Parts
20
Category
📚
Type
Series
Series Contents
Work through each part in order, or jump to the topic you need.
Getting Ready
Why senior engineering interviews are not really about solving LeetCode problems. A Staff-level preparation guide.
Strategy
How to Solve and Communicate in a Staff-Level Coding Interview. The interviewer evaluates how you think.
Evidence
How Interviewers Actually Evaluate Staff Engineers. Stop thinking like a candidate, start thinking like the interviewer.
Primitive Types
The Hidden Power of Bits, Mathematics, and Representation. Staff-level coding interviews aren't about memorizing bit tri…
Arrays
The Core Patterns Behind Staff-Level Coding Interviews. A Staff-level array problem is rarely about the array itself.
Strings
A Staff-Level Guide to String Manipulation, Parsing, Backtracking, Run Scanning, and Rolling Hashes in Python.
Linked Lists
A Staff-Level Coding Interview Guide to Pointer Rewiring, Fast/Slow Pointers, Cycles, Overlap, Partitioning, and Linked-…
Stacks & Queues
The LIFO and FIFO Patterns Every Python Coding Interviewer Expects You to Know.
Binary Trees
A practical, interview-focused guide to binary trees in Python, covering tree structure, traversals, recursion, balance,…
Heaps
A practical Python guide to heaps and priority queues for coding interviews, covering heap fundamentals, top-k problems,…
Searching
A practical, interview-focused guide to searching in Python, covering binary search, boundary conditions, cyclically sor…
Hash Tables
A practical, interview-focused guide to hash tables in Python, covering hashing, collisions, frequency counting, anagram…
Sorting
A practical, interview-focused guide to sorting in Python: how sorting simplifies problems, how to exploit order, how to…
Binary Search Trees
A practical, interview-focused guide to Binary Search Trees in Python: BST invariants, search, insertion, deletion, succ…
Recursion
A practical, interview-focused guide to recursion in Python: recursive decomposition, base cases, call-stack reasoning, …
Dynamic Programming
A practical, interview-focused guide to Dynamic Programming in Python: state design, recurrence relations, memoization, …
Greedy Algorithms
A practical, Staff-level interview guide to Greedy Algorithms in Python: local choices, global optimality, exchange argu…
Graphs
A Staff-level coding interview guide to graph modeling, traversal, BFS, DFS, connectivity, shortest paths, complexity, a…
Parallel Computing
A Staff-level coding interview guide to parallelism, concurrency, synchronization, parallel reduction, scalability, and …
Design Problems
A Staff/Principal-level guide to approaching design-oriented interview problems through requirements, constraints, archi…
Start the Series
Begin with the first part and work through each topic systematically.
Start with Part 1: Getting Ready →