Coding Interview Guide-Coding Practice Tool

Example

The guide offers curated problem sets ranging from easy to challenging difficulty levels. Examples include questions like 'Find all anagrams of a given word in a text,' where candidates practice techniques such as sliding window and hash mapping.

Scenario

A candidate preparing for a software engineering interview at a top tech company could use these problem sets to refine their skills, identify weak areas, and become accustomed to solving problems under time constraints.

Example

It provides detailed explanations of popular algorithms like sorting (e.g., quicksort, mergesort), searching (e.g., binary search), and dynamic programming techniques (e.g., longest common subsequence).

Scenario

An interviewee unfamiliar with dynamic programming concepts can use the guide to learn, through concrete examples and explanations, how to break down a problem like the knapsack problem into subproblems and solve it optimally.

Example

Simulated interview sessions provide practice for answering technical questions while managing stress. Candidates receive feedback to improve their solutions.

Scenario

Someone preparing for a technical phone screen can use mock interviews to get used to verbalizing their thought process and reasoning in a coherent manner while solving problems live.

Example

The guide includes sample questions and frameworks for designing systems like URL shorteners, chat applications, and distributed file storage.

Scenario

A candidate seeking a senior engineering role would benefit from practicing designing scalable systems, learning to consider trade-offs in architecture, and answering follow-up questions.