# Miller-Xie/Code

面试高频算法题总结，个人博客

Repository: https://github.com/Miller-Xie/Code
Canonical: https://ross.abutalabs.com/products/miller-xie-code
Homepage: https://blog.csdn.net/xie810005152
Language: C++
License Family: other
Last push: 2025-10-22T04:05:10+00:00

## Health v2 (maintenance only)
Score: 54/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 48, release rhythm 35, longevity 100
- inputs: {"age_days": 2822, "days_push": 315, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1130, forks 274 (observed 2026-08-28T04:03:42.324456+00:00)

## What it is
A personal collection of study notes and C++ solutions for high-frequency coding interview questions, covering LeetCode problems, Sword for Offers, and common data structures and algorithms. It is accompanied by the author's blog with summaries of C++, networking, and OS interview topics.

## Use cases
- prepare for coding interviews
- find leetcode solutions in c++
- review data structures and algorithms before an interview
- study sword for offer problems
- learn dynamic programming and greedy techniques
- brush up on common interview questions for c++ and networking

## When to choose
- you are preparing for technical interviews and want curated C++ solutions organized by topic
- you prefer markdown notes grouped by data structure and algorithm category
- you want Chinese-language explanations of LeetCode and Sword for Offer problems

## When to avoid
- you need a runnable algorithm library or tested code package
- you want solutions in languages other than C++
- you need an actively maintained repo with community support or a license

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools, documentation
- domain: education, tutorials
- platform: cross-platform
- tags: interview-preparation, leetcode, data-structures, cpp, competitive-programming, study-notes, algorithms

## Member repositories
- Miller-Xie/Code (main) score 54

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:42.324456+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:38:05.214587+00:00, confidence not recorded.
  - readme: https://github.com/Miller-Xie/Code (fetched 2026-08-28T04:03:42.324456+00:00, sha bd27be062994)
  - homepage: https://blog.csdn.net/xie810005152 (fetched 2026-08-29T12:42:33.680148+00:00, sha a5f85db7069a)
- Data as of 2026-08-30T08:39:29.467469+00:00.