| ISBN |
110742822X (paperback)
|
| ISBN13桁 |
9781107428225 (paperback)
|
| テキストの言語 |
英語
|
| 分類：NDC10版 |
007.64
|
| 個人著者標目 |
Hill, Christian,
|
| 生没年等 |
1974-
|
| 本タイトル |
Learning scientific programming with Python /
|
| 著者名 |
Christian Hill, University College London and Somerville College, University of Oxford.
|
| 出版地・頒布地 |
Cambridge, United Kingdom :
|
| 出版者・頒布者名 |
Cambridge University Press,
|
| 出版年・頒布年 |
2015.
|
| 数量 |
vii, 452 pages :
|
| 他の形態的事項 |
illustrations ;
|
| 大きさ |
25 cm
|
| 一般注記 |
Includes bibliographical references and index.
|
| 内容注記 |
1. Introduction -- 2. The core Python language I -- 3. Interlude: simple plotting with pylab -- 4. The core Python language II -- 5. IPython and IPython notebook -- 6. NumPy -- 7. Matplotlib -- 8. SciPy -- 9. General scientific programming -- Appendix A. Solutions.
|
| 要約、抄録、注釈等 |
"Learn to master basic programming tasks from scratch with real-life scientifically relevant examples and solutions drawn from both science and engineering. Students and researchers at all levels are increasingly turning to the powerful Python programming language as an alternative to commercial packages and this fast-paced introduction moves from the basics to advanced concepts in one complete volume, enabling readers to quickly gain proficiency. Beginning with general programming concepts such as loops and functions within the core Python 3 language, and moving onto the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualisation, this textbook also discusses the use of IPython notebooks to build rich-media, shareable documents for scientific analysis. Including a final chapter introducing challenging topics such as floating-point precision and algorithm stability, and with extensive online resources to support advanced study, this textbook represents a targeted package for students requiring a solid foundation in Python programming"--Provided by publisher.
|
| 一般件名 |
Science -- Data processing.
Science -- Mathematics. |
| 資料情報1 |
『Learning scientific programming with Python /』 Christian Hill, University College London and Somerville College, University of Oxford. Cambridge University Press, 2015.
（所蔵館：中央
請求記号：F/007.6/H64/L
資料コード：7108196045）
|
| URL |
https://catalog.library.metro.tokyo.lg.jp/winj/opac/switch-detail.do?lang=ja&bibid=1352023351 |
