apachecn/interview

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

Mindmap

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

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

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Things people build with this

USE CASE 1

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

USE CASE 2

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

USE CASE 3

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

USE CASE 4

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

Tech stack

PythonJupyter Notebook

Getting it running

Difficulty · easy Time to first run · 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.

Copy-paste prompts

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.

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