NumPy: beginner's guide : build efficient, high-speed programs using the high-performance NumPy mathematical library = Build efficient, high-speed programs using the high-performance NumPy mathematical library
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham, UK
Packt Publishing
2015
|
| Ausgabe: | 3rd edition |
| Schriftenreihe: | Learn by doing : less theory, more results
|
| Schlagworte: | |
| Beschreibung: | Online resource; title from cover (Safari, viewed July 6, 2015). - Includes index |
| Beschreibung: | 1 online resource (1 volume) illustrations |
| ISBN: | 9781785288838 1785288830 |
Internformat
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| 245 | 1 | 0 | |a NumPy |b beginner's guide : build efficient, high-speed programs using the high-performance NumPy mathematical library = Build efficient, high-speed programs using the high-performance NumPy mathematical library |c Ivan Idris |
| 246 | 1 | 3 | |a Build efficient, high-speed programs using the high-performance NumPy mathematical library |
| 246 | 1 | 1 | |a Build efficient, high-speed programs using the high-performance NumPy mathematical library |
| 250 | |a 3rd edition | ||
| 264 | 1 | |a Birmingham, UK |b Packt Publishing |c 2015 | |
| 300 | |a 1 online resource (1 volume) |b illustrations | ||
| 336 | |b txt |2 rdacontent | ||
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| 490 | 0 | |a Learn by doing : less theory, more results | |
| 500 | |a Online resource; title from cover (Safari, viewed July 6, 2015). - Includes index | ||
| 505 | 8 | |a This book is for the scientists, engineers, programmers, or analysts looking for a high-quality, open source mathematical library. Knowledge of Python is assumed. Also, some affinity, or at least interest, in mathematics and statistics is required. However, I have provided brief explanations and pointers to learning resources | |
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| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Idris, Ivan |t NumPy beginner's guide : build efficient, high-speed programs using the high-performance NumPy mathematical library |b Third edition |d Birmingham, England : Packt Publishing, 2015 |h xvi, 317 pages |z 9781785281969 |
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Datensatz im Suchindex
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| author | Idris, Ivan |
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| contents | This book is for the scientists, engineers, programmers, or analysts looking for a high-quality, open source mathematical library. Knowledge of Python is assumed. Also, some affinity, or at least interest, in mathematics and statistics is required. However, I have provided brief explanations and pointers to learning resources |
| ctrlnum | (ZDB-4-ITC)ocn913880049 (OCoLC)913880049 (DE-599)BVBBV045351252 |
| dewey-full | 006.8 |
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| dewey-sort | 16.8 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| edition | 3rd edition |
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| id | DE-604.BV045351252 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:15:42Z |
| institution | BVB |
| isbn | 9781785288838 1785288830 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030737905 |
| oclc_num | 913880049 |
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| psigel | ZDB-4-ITC |
| publishDate | 2015 |
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| series2 | Learn by doing : less theory, more results |
| spelling | Idris, Ivan Verfasser aut NumPy beginner's guide : build efficient, high-speed programs using the high-performance NumPy mathematical library = Build efficient, high-speed programs using the high-performance NumPy mathematical library Ivan Idris Build efficient, high-speed programs using the high-performance NumPy mathematical library 3rd edition Birmingham, UK Packt Publishing 2015 1 online resource (1 volume) illustrations txt rdacontent c rdamedia cr rdacarrier Learn by doing : less theory, more results Online resource; title from cover (Safari, viewed July 6, 2015). - Includes index This book is for the scientists, engineers, programmers, or analysts looking for a high-quality, open source mathematical library. Knowledge of Python is assumed. Also, some affinity, or at least interest, in mathematics and statistics is required. However, I have provided brief explanations and pointers to learning resources COMPUTERS / General bisacsh Numerical analysis / Data processing fast Python (Computer program language) fast Python (Computer program language) Numerical analysis Data processing Erscheint auch als Druck-Ausgabe Idris, Ivan NumPy beginner's guide : build efficient, high-speed programs using the high-performance NumPy mathematical library Third edition Birmingham, England : Packt Publishing, 2015 xvi, 317 pages 9781785281969 |
| spellingShingle | Idris, Ivan NumPy beginner's guide : build efficient, high-speed programs using the high-performance NumPy mathematical library = Build efficient, high-speed programs using the high-performance NumPy mathematical library This book is for the scientists, engineers, programmers, or analysts looking for a high-quality, open source mathematical library. Knowledge of Python is assumed. Also, some affinity, or at least interest, in mathematics and statistics is required. However, I have provided brief explanations and pointers to learning resources COMPUTERS / General bisacsh Numerical analysis / Data processing fast Python (Computer program language) fast Python (Computer program language) Numerical analysis Data processing |
| title | NumPy beginner's guide : build efficient, high-speed programs using the high-performance NumPy mathematical library = Build efficient, high-speed programs using the high-performance NumPy mathematical library |
| title_alt | Build efficient, high-speed programs using the high-performance NumPy mathematical library |
| title_auth | NumPy beginner's guide : build efficient, high-speed programs using the high-performance NumPy mathematical library = Build efficient, high-speed programs using the high-performance NumPy mathematical library |
| title_exact_search | NumPy beginner's guide : build efficient, high-speed programs using the high-performance NumPy mathematical library = Build efficient, high-speed programs using the high-performance NumPy mathematical library |
| title_full | NumPy beginner's guide : build efficient, high-speed programs using the high-performance NumPy mathematical library = Build efficient, high-speed programs using the high-performance NumPy mathematical library Ivan Idris |
| title_fullStr | NumPy beginner's guide : build efficient, high-speed programs using the high-performance NumPy mathematical library = Build efficient, high-speed programs using the high-performance NumPy mathematical library Ivan Idris |
| title_full_unstemmed | NumPy beginner's guide : build efficient, high-speed programs using the high-performance NumPy mathematical library = Build efficient, high-speed programs using the high-performance NumPy mathematical library Ivan Idris |
| title_short | NumPy |
| title_sort | numpy beginner s guide build efficient high speed programs using the high performance numpy mathematical library build efficient high speed programs using the high performance numpy mathematical library |
| title_sub | beginner's guide : build efficient, high-speed programs using the high-performance NumPy mathematical library = Build efficient, high-speed programs using the high-performance NumPy mathematical library |
| topic | COMPUTERS / General bisacsh Numerical analysis / Data processing fast Python (Computer program language) fast Python (Computer program language) Numerical analysis Data processing |
| topic_facet | COMPUTERS / General Numerical analysis / Data processing Python (Computer program language) Python (Computer program language) Numerical analysis Data processing |
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