# pdichone/production-course-main-code SLOC report

> As of 2026-08-24 (commit 9933fe78aba0), pdichone/production-course-main-code contains 9,931 total lines: 7,079 code, 718 comments, 2,134 blank, across 40 files in 3 languages (top: Python 99.7%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

pdichone/production-course-main-code has 7,079 source lines of code out of 9,931 total lines across 40 files, counted from the main ref at commit 9933fe78aba0 by the OctoCounts tokei engine on 2026-08-24. 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 pdichone/production-course-main-code to commit 9933fe78aba0, 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 small codebase by counted code lines. Code represents 71.3% of all lines, comments represent 7.2%, and the repository averages 177 code lines per file. Python accounts for 99.7% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 38 | 9,907 | 7,055 | 718 | 2,134 |
| TOML | 1 | 24 | 24 | 0 | 0 |
| Markdown | 1 | 0 | 0 | 0 | 0 |

Top language (Python 99.7%). Generated at 2026-08-24T12:12:49.217884393+00:00. Canonical report: https://octocounts.com/github/pdichone/production-course-main-code

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/pdichone/production-course-main-code/commit/9933fe78aba0cba40812856d9baeb0640cad70ca?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 pdichone/production-course-main-code have?

pdichone/production-course-main-code has 9,931 total lines, including 7,079 code lines, 718 comment lines, and 2,134 blank lines.

### How was the pdichone/production-course-main-code line count measured?

OctoCounts resolved the public GitHub repository to commit 9933fe78aba0, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for pdichone/production-course-main-code?

This OctoCounts report was generated from main at commit 9933fe78aba0 on 2026-08-24T12:12:49.217884393+00:00.

## Similar repository reports

- [verozhao/ai-agent-v3](https://octocounts.com/github/verozhao/ai-agent-v3) — Python, 7,109 code lines
- [Tilkmilk/vibe-mote](https://octocounts.com/github/Tilkmilk/vibe-mote) — Python, 7,155 code lines
- [FuRongJun-1999/dsh-memory](https://octocounts.com/github/FuRongJun-1999/dsh-memory) — Python, 7,245 code lines
- [Edge0-AI/edge0](https://octocounts.com/github/Edge0-AI/edge0) — Python, 7,298 code lines
- [MrGeDiao/shuorenhua](https://octocounts.com/github/MrGeDiao/shuorenhua) — Python, 7,303 code lines
- [xinxinshuhao-create/grok-register](https://octocounts.com/github/xinxinshuhao-create/grok-register) — Python, 7,303 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)
- [TensorFlow vs PyTorch](https://octocounts.com/compare/tensorflow-vs-pytorch)
- [Django vs Ruby on Rails](https://octocounts.com/compare/django-vs-rails)
- [Laravel vs Django](https://octocounts.com/compare/laravel-vs-django)
- [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)
