coding-interview-university: Study Computer Science for Interviews

Overview

Coding Interview University is a curated, checklist-based curriculum for learners preparing for software engineering interviews. It brings together study topics, books, courses, videos, and practice problems, with guidance on applying each subject through implementation and interview-style exercises.

The plan is aimed at people with some basic coding experience who can commit sustained study time. It is not a frontend or full-stack roadmap, and its breadth means learners should prioritize topics relevant to their goals rather than treating every optional resource as mandatory.

Key Features

• Ordered study outline covering algorithmic complexity, data structures, sorting, trees, graphs, and other computer science topics.
• Implementation exercises for structures and algorithms such as dynamic arrays, linked lists, hash tables, search trees, and graph traversals.
• Curated links to books, university lectures, online courses, videos, and coding practice sites.
• Advice to practice interview problems alongside learning, rather than waiting until the curriculum is complete.
• Checkboxes and instructions for tracking personal progress in a fork or downloaded copy.
• Translations of the study plan in multiple languages.
• Optional advanced topics and resources for readers who want to go beyond interview preparation.

Use Cases

• A self-taught programmer building foundations in algorithms and data structures before applying for software engineering roles.
• A learner who wants a structured checklist to guide several months of independent study.
• An interview candidate seeking resources and a routine for practicing problem solving, complexity analysis, and explaining solutions.
• A computer science student reviewing core topics and identifying areas for additional practice.

Project Facts

• Language: not specified in the provided repository data.
• License: CC-BY-SA-4.0.
• Stars: 362k.
• Forks: 84.9k.
• Topics: algorithm, algorithms, coding-interview, coding-interviews, computer-science, data-structures, interview, interview-prep, interview-preparation, programming-interviews, software-engineering, study-plan.
• Archived: no.

Getting Started

Open the repository README and work through the study plan. You can follow it online, fork the repository to track checklist progress, or download a ZIP; the README explains each option and provides the full resource list.

Alternatives

• CompetitiveCode: CompetitiveCode focuses on competitive programming problems and C++ solutions, rather than a broad study plan for software engineering interview preparation.

Considerations

• This is a learning plan and collection of links, not a software package or a course with automated instruction.
• The plan is extensive and may take months. The README advises learners not to study every item indiscriminately and to practice problems while learning.
• Some linked video resources may require access to a course that is not currently in session, and external links can change over time.
• The stated focus is software engineering interview preparation. Frontend technologies and SQL are explicitly outside the plan's coverage.
• The repository uses the CC-BY-SA-4.0 license, which matters if you redistribute or adapt its materials.