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what is interviews fr?

kdn251/interviews — explained in plain English

Analysis updated 2026-05-18

64,943JavaAudience · developerComplexity · 1/5LicenseSetup · easy

tl;dr

A study guide for software engineering interviews with explanations of data structures, algorithms, and Java implementations of common coding problems.

vibe map

mindmap
  root((interviews))
    Data Structures
      Linked Lists
      Trees and BSTs
      Hash Maps
      Heaps and Tries
    Algorithms
      Sorting and Searching
      Graph Traversal
      Dynamic Programming
      Bit Manipulation
    Learning Resources
      LeetCode Problems
      HackerRank Challenges
      Complexity Analysis
      Mock Interviews
    Code Examples
      Java Implementations
      Problem Solutions
      Time Complexity Tables
      Organized by Topic

Code map

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what do people make with this?

VIBE 1

Prepare for technical interviews at software companies by studying data structures and algorithms with Java code examples.

VIBE 2

Review time complexity and operation costs for common data structures before choosing one for a project.

VIBE 3

Practice coding problems on linked platforms like LeetCode and HackerRank with this guide as a reference.

VIBE 4

Brush up on specific algorithms like dynamic programming or graph traversal before a coding interview.

what's the stack?

Java

how it stacks up fr

kdn251/interviewsthealgorithms/javanationalsecurityagency/ghidra
Stars64,94365,55568,090
LanguageJavaJavaJava
Setup difficultyeasyeasymoderate
Complexity1/51/53/5
Audiencedeveloperdeveloperresearcher

Figures from each repo's GitHub metadata at analysis time.

how do i run it?

Difficulty · easy time til it works · 5min
Use freely for any purpose including commercial, as long as you keep the copyright notice.

in plain english

The interviews repository is a comprehensive study guide for software engineering technical interviews, with a particular focus on data structures, algorithms, and the kinds of coding challenges that companies ask during hiring. The problem it addresses is that interview preparation is scattered, candidates have to piece together resources from books, websites, and practice platforms. This repo consolidates explanations of core concepts, curated links to online judges, and a collection of actual Java implementations into one place. The repository covers major data structure categories such as linked lists, stacks, queues, trees, binary search trees, heaps, hash maps, tries, and segment trees, with time complexity tables for each common operation. It also explains algorithm categories including sorting, searching, graph traversal, dynamic programming, greedy algorithms, bit manipulation, and runtime complexity analysis using Big O notation. Beyond explanations, it links out to popular coding practice platforms like LeetCode, HackerRank, CodeForces, and Pramp for live mock interviews. The codebase itself contains Java implementations of solutions to common interview problems, organized in a directory structure you can browse. You would use this repository when preparing for software engineering interviews at companies that test algorithmic problem-solving, or as a reference when you want to brush up on a data structure before using it in a project. The tech stack is purely Java with no external dependencies, it is a straightforward collection of Java files and Markdown documentation.

prompts (copy fr)

prompt 1
I'm preparing for a software engineering interview. Walk me through the data structures covered in this repo and show me the Java implementation for a linked list.
prompt 2
Explain Big O notation and show me the time complexity table for common operations on hash maps from this interview guide.
prompt 3
I need to practice dynamic programming problems. What algorithms does this repo cover and can you show me a Java solution example?
prompt 4
Help me understand when to use a heap vs a binary search tree, using the explanations and Java code from this interview prep repository.
prompt 5
I'm weak on graph traversal algorithms. Show me how this repo explains graph problems and provide a Java implementation example.

Frequently asked questions

what is interviews fr?

A study guide for software engineering interviews with explanations of data structures, algorithms, and Java implementations of common coding problems.

What language is interviews written in?

Mainly Java. The stack also includes Java.

What license does interviews use?

Use freely for any purpose including commercial, as long as you keep the copyright notice.

How hard is interviews to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is interviews for?

Mainly developer.

peek the repo → explain another one

This repo across BitVibe Labs

double-check against the repo, no cap.