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halfrost/halfrost-field

13,211GoAudience · developerComplexity · 1/5Setup · easy

TLDR

A Chinese-language collection of deep-dive technical articles by one developer, covering Go internals, spatial search algorithms, machine learning notes, and data structures, written by reading open-source framework source code.

Mindmap

mindmap
  root((halfrost-field))
    Go internals
      Slices and maps
      Interfaces reflection
      Channels goroutines
    Spatial algorithms
      Geohash encoding
      Google S2 library
      Map indexing
    Machine learning
      Andrew Ng course notes
      Theory to code
    Other topics
      JavaScript
      iOS development
      Algorithms structures
    Format
      Chinese language
      Blog articles
      Source code analysis
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Code map

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Things people build with this

USE CASE 1

Study how Go slices, maps, interfaces, channels, and reflection work under the hood through detailed written explanations

USE CASE 2

Learn spatial indexing algorithms like Geohash and Google S2 through the author's source-code walkthroughs

USE CASE 3

Follow Andrew Ng's machine learning course with supplementary notes that connect theory to code

Tech stack

GoJavaScriptiOSSwift

Getting it running

Difficulty · easy Time to first run · 5min

In plain English

Halfrost-Field, which the author calls "the land of frost," is a personal repository where a developer named halfrost collects the technical articles he writes for his blog. The badges at the top show a large running total of words written and times read, so this is a long-running writing project rather than a piece of software you install and run. The stated reason for building the repository is simple. The author believes that reading the source code of open source frameworks is one of the best ways to improve as a programmer, so he reads that code, analyzes it in detail, and writes up what he learned. The repository is the place where those write-ups live, and he says he keeps adding to it over time. The articles are organized into sections by topic. The Go section is the largest and goes deep into how the Go language works underneath: how slices and maps are built, how interfaces and reflection work, and how channels handle concurrency. There is also a group of articles on spatial search algorithms such as Geohash and Google's S2 library, which deal with indexing points on a map. Other sections cover machine learning notes that follow Andrew Ng's well known Stanford course, plus JavaScript, iOS development, and general algorithm and data structure topics. Most of the writing is in Chinese, and nearly every entry in the tables is a link out to a separate article file inside the repository. So the repository itself is mostly an index, a table of contents that points to the full pieces. If you can read Chinese and want to understand how these systems work from the inside, it is a study resource. The author invites readers to star the repository if they want to follow along as new articles are added.

Copy-paste prompts

Prompt 1
I am reading the halfrost-field Go slice article, help me understand why appending to a slice sometimes creates a new backing array and sometimes does not, with a memory diagram.
Prompt 2
Explain the halfrost-field article on Go maps: how does the hash table bucket structure work and what triggers a map resize?
Prompt 3
I want to understand how Google S2 library encodes geographic points as integers, summarize the approach from the halfrost-field spatial search articles.
Prompt 4
Help me work through the Go channel implementation described in halfrost-field: how does the runtime schedule goroutines waiting on a channel send or receive?
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