Using Python for Scientific Research
- Scientific or statistical research has long been the domain of dedicated programming languages such as R, SPSS or SAS. A few years other competitors entered the arena, among them Python with its powerful SciPy package. The following article introduces SciPy by applying a small subset of its functionality to a well-known dataset.
| Document Type: | Conference Object |
|---|---|
| Language: | English |
| Author: | Uwe Ziegenhagen |
| Parent Title (English): | Klewitz-Hommelsen, Lang, Schönbach (Eds.): Science Track FrOSCon 2016 |
| First Page: | 19 |
| Last Page: | 24 |
| ISBN: | 978-3-96043-032-2 |
| URL: | https://doi.org/10.18418/978-3-96043-032-2 |
| Date of first publication: | 2018/04/27 |
| Dewey Decimal Classification (DDC): | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
| Conference volumes: | FrOSCon - Free and Open Source Software Conference / 11. Free and Open Source Conference (FrOSCon), Sankt Augustin, 20.-21.08.2016 |
| Entry in this database: | 2018/05/01 |
