Reference Sheets

Copy-ready templates and problem patterns, rendered from the study packet's reference sheets.

• Python Standard Library

  Use the Python containers, iterators, search helpers, heaps, and cache tools most useful in interview code.

• Data Structures

  Compare operation costs and tradeoffs for Python containers, trees, graphs, heaps, tries, and union-find.

• Algorithm Templates

  Review compact templates for binary search, pointers, sliding windows, traversal, backtracking, and dynamic programming.

• Big-O Complexity

  Compare common time and space costs, input-size limits, amortized analysis, and the questions to ask before optimizing.

• Common Patterns

  Recognize recurring problem shapes and choose an appropriate pattern, invariant, and complexity target.

• System Design

  Review practical building blocks for APIs, storage, caching, queues, scaling, reliability, and system-design discussion.

• Interview Day Guide

  Prepare a calm interview-day setup, communication rhythm, timing plan, and recovery steps for observed work.

• Cross-Reference Guide

  Map problem wording to repository examples, algorithm patterns, decision paths, and focused follow-up references.

• Python 3.14 & Modern Patterns

  Review Python 3.14 features and modern typing, validation, testing, and performance patterns relevant to current code.

• Whiteboard Performance & Panic Protocol

  Practice observable reasoning, calm recovery, tracing, and optional timed narration with CLARP and related vocabularies.

• 14-Day Interview Practice Ramp

  Follow a 14-day editor-first calendar of coding reps, targeted review, rest, and optional observed practice.