Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/1682Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Antao, Tiago | - |
| dc.date.accessioned | 2026-07-31T05:05:28Z | - |
| dc.date.available | 2026-07-31T05:05:28Z | - |
| dc.date.issued | 2018-11 | - |
| dc.identifier.isbn | 978-1-78934-469-1 | - |
| dc.identifier.uri | http://hdl.handle.net/123456789/1682 | - |
| dc.description.abstract | Whether you are reading this book as a computational biologist or a Python programmer, you will probably relate to the phrase "explosive growth, exciting times." The recent growth in the use of Python is strongly connected with its status as big data's main programming language. The deluge of data in biology, mostly from genomics and proteomics, makes bioinformatics one of the forefront applications of data science. There is a massive need for bioinformaticians to analyze all this data; of course, one of the main tools is Python. We will not only talk about the programming language but also the whole community and software ecology behind it. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Packt Publishing | en_US |
| dc.relation.ispartofseries | 1301118; | - |
| dc.subject | Bioinformatics with Python Cookbook | en_US |
| dc.title | Bioinformatics with Python Cookbook | en_US |
| dc.title.alternative | Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology | en_US |
| dc.type | Book | en_US |
| Appears in Collections: | E-Books | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Bioinformatics with Python Cookbook (2).pdf | 8.36 MB | Adobe PDF | View/Open |
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