# microsoft/AI-For-Beginners SLOC report

> As of 2026-09-16 (commit f1bfa04851bd), microsoft/AI-For-Beginners contains 814,959 total lines: 313,827 code, 299,957 comments, 201,175 blank, across 6,668 files in 11 languages (top: Jupyter Notebooks 91.2%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

microsoft/AI-For-Beginners has 313,827 source lines of code out of 814,959 total lines across 6,668 files, counted from the f1bfa04851bd812f034a3ca51f7a4cb9ad9c990b ref at commit f1bfa04851bd by the OctoCounts tokei engine on 2026-09-16. The report is cached by commit, tokei version, and analysis options, so recounting the same revision returns exactly these numbers.

OctoCounts produced this report by resolving microsoft/AI-For-Beginners to commit f1bfa04851bd, downloading the repository source archive, and counting every source file with tokei, the open-source line counter written in Rust. The table below breaks the count down by programming language into files, total lines, code lines, comment lines, and blank lines, so the figures can be compared across languages and projects. Results are cached by commit, tokei version, and analysis options, so counting the same revision again reproduces exactly these numbers.

## Repository size insights

This is a large codebase by counted code lines. Code represents 38.5% of all lines, comments represent 36.8%, and the repository averages 47 code lines per file. Jupyter Notebooks accounts for 91.2% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Jupyter Notebooks | 2,970 | 530,500 | 286,330 | 142,672 | 101,498 |
| JSON | 30 | 24,572 | 24,572 | 0 | 0 |
| Python | 12 | 1,697 | 1,389 | 98 | 210 |
| SVG | 2 | 1,335 | 1,333 | 1 | 1 |
| JavaScript | 6 | 94 | 86 | 1 | 7 |
| HTML | 3 | 55 | 51 | 1 | 3 |
| YAML | 2 | 49 | 49 | 0 | 0 |
| Vue | 4 | 20 | 16 | 0 | 4 |
| Shell | 1 | 2 | 1 | 1 | 0 |
| Markdown | 3,632 | 255,925 | 0 | 156,521 | 99,404 |
| Plain Text | 6 | 710 | 0 | 662 | 48 |

Top language (Jupyter Notebooks 91.2%). Generated at 2026-09-16T19:34:20.941645099+00:00. Canonical report: https://octocounts.com/github/microsoft/AI-For-Beginners

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/microsoft/AI-For-Beginners/commit/f1bfa04851bd812f034a3ca51f7a4cb9ad9c990b?analysis=%7B%22ignoredDirs%22%3A%5B%5D%2C%22ignoredLanguages%22%3A%5B%5D%2C%22profile%22%3A%22default%22%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22includeGenerated%22%3Afalse%7D).

## Report FAQ

### How many lines of code does microsoft/AI-For-Beginners have?

microsoft/AI-For-Beginners has 814,959 total lines, including 313,827 code lines, 299,957 comment lines, and 201,175 blank lines.

### How was the microsoft/AI-For-Beginners line count measured?

OctoCounts resolved the public GitHub repository to commit f1bfa04851bd, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for microsoft/AI-For-Beginners?

This OctoCounts report was generated from f1bfa04851bd812f034a3ca51f7a4cb9ad9c990b at commit f1bfa04851bd on 2026-09-16T19:34:20.941645099+00:00.

## Similar repository reports

- [NousResearch/Hermes-Function-Calling](https://octocounts.com/github/NousResearch/Hermes-Function-Calling) — Jupyter Notebooks, 2,415 code lines
- [guptashrey/Content-Moderation-for-Social-Media](https://octocounts.com/github/guptashrey/Content-Moderation-for-Social-Media) — Jupyter Notebooks, 2,364 code lines
- [karpathy/nn-zero-to-hero](https://octocounts.com/github/karpathy/nn-zero-to-hero) — Jupyter Notebooks, 1,490 code lines
- [ysymyth/ReAct](https://octocounts.com/github/ysymyth/ReAct) — Jupyter Notebooks, 1,001 code lines
- [PKUFlyingPig/UCB-CS170](https://octocounts.com/github/PKUFlyingPig/UCB-CS170) — Jupyter Notebooks, 679 code lines
- [Lordog/dive-into-llms](https://octocounts.com/github/Lordog/dive-into-llms) — Jupyter Notebooks, 515 code lines

## Related OctoCounts pages

- [Recently analyzed repositories](https://octocounts.com/recent)
- [Popular SLOC reports](https://octocounts.com/popular)
- [Trending GitHub repositories](https://octocounts.com/trending)
- [Hall of Monoliths](https://octocounts.com/hall-of-monoliths)
- [GitHub SLOC counter guide](https://octocounts.com/docs/github-sloc-counter)
- [Counting methodology](https://octocounts.com/docs/methodology)
- [SLOC and code metrics glossary](https://octocounts.com/docs/glossary)
- [Original research: how filtering changes SLOC counts](https://octocounts.com/research)
- [OctoCounts API docs](https://octocounts.com/docs/api)
