Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/1578Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Anaya, Mariano | - |
| dc.date.accessioned | 2026-07-29T11:08:20Z | - |
| dc.date.available | 2026-07-29T11:08:20Z | - |
| dc.date.issued | 2018-08 | - |
| dc.identifier.isbn | 978-1-78883-583-1 | - |
| dc.identifier.uri | http://hdl.handle.net/123456789/1578 | - |
| dc.description.abstract | This is a book about software engineering principles applied to Python. There are many books about software engineering, and many resources available with information about Python. The intersection of those two sets, though, is something that requires action, and that's the gap this book tries to bridge. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Packt Publishing | en_US |
| dc.relation.ispartofseries | 1270818; | - |
| dc.subject | Clean Code in Python | en_US |
| dc.title | Clean Code in Python | en_US |
| dc.title.alternative | Refactor your legacy code base | en_US |
| dc.type | Book | en_US |
| Appears in Collections: | E-Books | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Clean Code in Python.pdf | 2.51 MB | Adobe PDF | View/Open |
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