As of 2026-07-10 (commit 07b11618cdb5), oreilly-japan/deep-learning-from-scratch contains 6,144 total lines: 4,368 code, 427 comments, 1,349 blank, across 71 files in 4 languages (top: Python 51.4%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving oreilly-japan/deep-learning-from-scratch to commit 07b11618cdb5, 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.
This is a small codebase by counted code lines. Code represents 71.1% of all lines, comments represent 6.9%, and the repository averages 62 code lines per file. Python accounts for 51.4% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Python | 59 | 3099 | 2243 | 181 | 675 |
| Jupyter Notebooks | 9 | 2941 | 2118 | 181 | 642 |
| YAML | 1 | 8 | 7 | 0 | 1 |
| Markdown | 2 | 96 | 0 | 65 | 31 |
Top language (Python 51.4%). Generated at 2026-07-10T13:50:26.107099913+00:00.
oreilly-japan/deep-learning-from-scratch has 6,144 total lines, including 4,368 code lines, 427 comment lines, and 1,349 blank lines.
OctoCounts resolved the public GitHub repository to commit 07b11618cdb5, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.
This OctoCounts report was generated from master at commit 07b11618cdb5 on 2026-07-10T13:50:26.107099913+00:00.