- Išsiųsime per 10–14 d.d.
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- Autorius: David Báez-López
- Leidėjas: CRC Press
- ISBN-10: 1032117672
- ISBN-13: 9781032117676
- Formatas: 15.6 x 23.4 x 2.5 cm, kieti viršeliai
- Kalba: Anglų
- Extra -15 % nuolaida šiai knygai su kodu: ENG15
Atsiliepimai
Aprašymas
Introduction to Python: with Applications in Optimization, Image and Video Processing, and Machine Learning is intended primarily for advanced undergraduate and graduate students in quantitative sciences such as mathematics, computer science, and engineering. In addition to this, the book is written in such a way that it can also serve as a self-contained handbook for professionals working in quantitative fields including finance, IT, and many other industries where programming is a useful or essential tool.
The book is written to be accessible and useful to those with no prior experience of Python, but those who are somewhat more adept will also benefit from the more advanced material that comes later in the book.Features
- Covers introductory and advanced material. Advanced material includes lists, dictionaries, tuples, arrays, plotting using Matplotlib, object-oriented programming
- Suitable as a textbook for advanced undergraduates or postgraduates, or as a reference for researchers and professionals
- Solutions manual, code, and additional examples are available for download.
EXTRA 15 % nuolaida su kodu: ENG15
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- Autorius: David Báez-López
- Leidėjas: CRC Press
- ISBN-10: 1032117672
- ISBN-13: 9781032117676
- Formatas: 15.6 x 23.4 x 2.5 cm, kieti viršeliai
- Kalba: Anglų
Introduction to Python: with Applications in Optimization, Image and Video Processing, and Machine Learning is intended primarily for advanced undergraduate and graduate students in quantitative sciences such as mathematics, computer science, and engineering. In addition to this, the book is written in such a way that it can also serve as a self-contained handbook for professionals working in quantitative fields including finance, IT, and many other industries where programming is a useful or essential tool.
The book is written to be accessible and useful to those with no prior experience of Python, but those who are somewhat more adept will also benefit from the more advanced material that comes later in the book.Features
- Covers introductory and advanced material. Advanced material includes lists, dictionaries, tuples, arrays, plotting using Matplotlib, object-oriented programming
- Suitable as a textbook for advanced undergraduates or postgraduates, or as a reference for researchers and professionals
- Solutions manual, code, and additional examples are available for download.
Atsiliepimai