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julycoding/the-art-of-programming-by-july-2nd

21,517CAudience · developerComplexity · 2/5DormantSetup · easy

TLDR

Open-source Chinese programming book covering interview prep and algorithms with detailed explanations, code samples in C, and community translations.

Mindmap

mindmap
  root((repo))
    What it does
      Algorithm explanations
      Interview prep
      Code walkthroughs
    Topics covered
      Data structures
      Dynamic programming
      String processing
      Machine learning
    Tech stack
      C language
      C++ sections
      Java examples
      Python examples
    Audience
      Job interview prep
      Algorithm students
      Software engineers
    Content format
      Chinese explanations
      English translation
      Code samples

Things people build with this

USE CASE 1

Prepare for technical interviews at major tech companies by studying detailed algorithm walkthroughs and solutions.

USE CASE 2

Learn data structures and algorithms through step-by-step explanations covering reasoning and optimization tradeoffs.

USE CASE 3

Study classic programming problems with working code examples in C and other languages.

Tech stack

CC++JavaPython

Getting it running

Difficulty · easy Time to first run · 5min
License could not be detected automatically. Check the repository's LICENSE file before use.

In plain English

This repository is a Chinese-language project that started life as a series of "100 Microsoft interview questions" posts on a programming blog and grew into a full book called The Art of Programming: Interview and Algorithm Insights. The README explains that the author (writing under the name July) began curating the original 100 questions in October 2010, then picked the most representative ones, expanded each into a chapter, and kept refining them. The GitHub repository is where chapters and code samples were collected, discussed, and improved before a paper edition was published; the book is now sold through Chinese online bookstores such as JD and Dangdang. The content is built around classic programming interview problems used at large tech companies. The README mentions a planned second edition that rewrites roughly a third of the existing material in LaTeX, adds about 20 new problems collected from interviews between 2021 and 2023 covering data structures, algorithms, and AI-related questions, and introduces additional machine-learning material such as xgboost, CNN, RNN, and LSTM. Code samples are mostly written in C, with smaller amounts of C++ and contributions in other languages such as Java, Python, and Go placed in a separate ebook/code folder. The repository also documents a code-style guide, a contribution guide, and a long history of versions and contributors. You would use this repository if you read Chinese and are preparing for a programming interview or studying algorithms and want a community-reviewed collection of worked-through problems alongside the published book. The full README is longer than what was provided.

Copy-paste prompts

Prompt 1
Show me how to solve the tree traversal problem from the-art-of-programming repo, explaining the approach step by step.
Prompt 2
I'm preparing for a tech interview. Walk me through a dynamic programming problem from this repo and explain the optimization.
Prompt 3
Translate this C code example from the-art-of-programming into Python and explain what it does.
Prompt 4
What are the key data structure problems covered in the-art-of-programming and how do I approach them?
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