Numerical Methods with Python : : for the Sciences / / William Miles.
Introduces students to appropriate use of computer programming within the scientific disciplines using Python. Discusses several common applications of programming and implementation using real world examples and hands on programming exercises. Students learn how to model situations such as image re...
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| Superior document: | Title is part of eBook package: De Gruyter DG Plus DeG Package 2023 Part 1 |
|---|---|
| VerfasserIn: | |
| Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2023] ©2023 |
| Year of Publication: | 2023 |
| Language: | English |
| Series: | De Gruyter Textbook
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| Online Access: | |
| Physical Description: | 1 online resource (X, 316 p.) |
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| 001 | 9783110776645 | ||
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| 100 | 1 | |a Miles, William, |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Numerical Methods with Python : |b for the Sciences / |c William Miles. |
| 264 | 1 | |a Berlin ; |a Boston : |b De Gruyter, |c [2023] | |
| 264 | 4 | |c ©2023 | |
| 300 | |a 1 online resource (X, 316 p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
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| 490 | 0 | |a De Gruyter Textbook | |
| 505 | 0 | 0 | |t Frontmatter -- |t Acknowledgment -- |t Contents -- |t 1 Introduction -- |t 2 The basic operations in Python -- |t 3 Functions -- |t 4 Matrices, vectors, and linear systems -- |t 5 Iteration -- |t 6 Statistics -- |t 7 Regression -- |t A Python code -- |t B Solutions -- |t Index -- |t Index of Python Commands |
| 506 | 0 | |a restricted access |u http://purl.org/coar/access_right/c_16ec |f online access with authorization |2 star | |
| 520 | |a Introduces students to appropriate use of computer programming within the scientific disciplines using Python. Discusses several common applications of programming and implementation using real world examples and hands on programming exercises. Students learn how to model situations such as image recognition, medical diagnosis, spread of disease, and others. The text could be used by students and lecturers for courses in Python, Numerical Methods, or as a first course in Data Science. | ||
| 530 | |a Issued also in print. | ||
| 538 | |a Mode of access: Internet via World Wide Web. | ||
| 546 | |a In English. | ||
| 588 | 0 | |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 29. Mai 2023) | |
| 650 | 4 | |a Computer programmierung. | |
| 650 | 4 | |a Mathematische Funktionen. | |
| 650 | 4 | |a Pyhton. | |
| 650 | 4 | |a Rückschritt. | |
| 650 | 7 | |a COMPUTERS / Programming / General. |2 bisacsh | |
| 653 | |a Python, Computer Programming, functional mathematics, regression analysis, linear systems. | ||
| 773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t DG Plus DeG Package 2023 Part 1 |z 9783111175782 |
| 773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t EBOOK PACKAGE COMPLETE 2023 English |z 9783111319292 |
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| 773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t EBOOK PACKAGE Engineering, Computer Sciences 2023 English |z 9783111319124 |
| 773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t EBOOK PACKAGE Engineering, Computer Sciences 2023 |z 9783111318165 |o ZDB-23-DEI |
| 776 | 0 | |c EPUB |z 9783110776935 | |
| 776 | 0 | |c print |z 9783110776454 | |
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