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what is interview fr?

apachecn/interview — explained in plain English

Analysis updated 2026-06-24

★ 8,965Jupyter NotebookAudience · developerComplexity · 1/5LicenseSetup · easy

tl;dr

A Chinese-language collection of study material for technical job interviews, covering algorithms, coding challenges, machine learning, Python, and resume writing, with interactive Jupyter Notebook examples.

vibe map

mindmap
  root((repo))
    What it does
      Interview study guide
      Chinese language
    Content Areas
      Algorithms and coding
      Machine learning
      Python
      Resume writing
    Format
      Jupyter Notebooks
      Interactive code
      Online website
    Audience
      Job seekers
      CS students
      Data science learners

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

what do people make with this?

VIBE 1

Study algorithm and data structure problems interactively using Jupyter Notebooks before a technical interview.

VIBE 2

Read through common interview Q&A topics in Chinese to prepare for software engineering or data science roles.

VIBE 3

Use the resume guide section to learn how to structure a tech resume for the Chinese job market.

VIBE 4

Practice Kaggle-style data science problems alongside LeetCode-style coding challenges in one place.

what's the stack?

PythonJupyter Notebook

how it stacks up fr

apachecn/interviewopenbmb/minicpmgraviraja/mlops-basics
Stars8,9658,8818,860
LanguageJupyter NotebookJupyter NotebookJupyter Notebook
Setup difficultyeasymoderatemoderate
Complexity1/54/53/5
Audiencedeveloperdeveloperdata

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

how do i run it?

Difficulty · easy time til it works · 5min

Content is available to read online at interview.apachecn.org, no local setup needed. Running notebooks locally requires Python and Jupyter.

Creative Commons BY-NC-SA 4.0, you can share and adapt the material with attribution, but not for commercial purposes, and derivatives must use the same license.

in plain english

This repository is a Chinese-language study collection maintained by ApacheCN, a Chinese open-source community, aimed at people preparing for technical job interviews in the software and data industries. The title translates roughly to an IT industry interview knowledge library, and the description lists four types of content: a resume guide, algorithm and coding problems, a question-and-answer section covering common interview topics, and source code analysis. The topics tagged on the repository point to the kinds of material inside: programming interview questions, Kaggle data science competitions, LeetCode-style coding challenges, machine learning, and Python. The content is written in Jupyter Notebooks, a format commonly used for Python code combined with explanatory text, which suggests the material is interactive and runnable rather than purely written notes. The repository is hosted for reading online at interview.apachecn.org. It is released under a Creative Commons BY-NC-SA 4.0 license, which allows sharing and adaptation for non-commercial purposes with attribution. The README itself is short and points outward to the website rather than describing the content in detail, so the full scope of what is covered is best explored there.

prompts (copy fr)

prompt 1
I'm preparing for a Python data science interview, give me a 20-question mock interview covering pandas, numpy, and ML fundamentals, at the level expected in a Chinese tech company interview.
prompt 2
Explain the top 10 algorithm topics I must know for a software engineering interview at a Chinese tech company, with a Python code example for each.
prompt 3
Write a Jupyter Notebook cell that solves the two-sum problem in Python with both a brute-force and an optimized hash-map approach, then explains the time complexity.
prompt 4
Help me write a one-page Chinese-style tech resume for a junior Python developer applying to data science roles.

Frequently asked questions

what is interview fr?

A Chinese-language collection of study material for technical job interviews, covering algorithms, coding challenges, machine learning, Python, and resume writing, with interactive Jupyter Notebook examples.

What language is interview written in?

Mainly Jupyter Notebook. The stack also includes Python, Jupyter Notebook.

What license does interview use?

Creative Commons BY-NC-SA 4.0, you can share and adapt the material with attribution, but not for commercial purposes, and derivatives must use the same license.

How hard is interview to set up?

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

Who is interview for?

Mainly developer.

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