Learning Scientific Programming with Python
1147 Kč 1 193 Kč
Learn to master basic Python programming tasks from scratch with real-life, scientifically-relevant examples and solutions drawn from science and engineering. This fast-paced introduction moves from the basics to advanced concepts in one complete volume, enabling readers to gain proficiency quickly.
\n| Autor: | Hill, Christian |
| Nakladatel: | Cambridge University Press |
| ISBN: | 9781108745918 |
| Rok vydání: | 2020 |
| Jazyk : | Angličtina |
| Vazba: | Měkká |
| Počet stran: | 568 |
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Game Theory Basics
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Quantum Computing for Computer Scien...
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Applied Stochastic Differential Equat...
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Wireless Communications and Networkin...
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Purely Functional Data Structures
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A First Course in Random Matrix Theory
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Bandit Algorithms
Lattimore, Tor (University of Alberta); Szepesvari, Csaba (University of Alberta)
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How to Write Good Programs
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Industry Unbound
Waldman, Ari Ezra (Northeastern University, Boston)
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Integer Linear Programming in Comput...
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Sentiment Analysis
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Machine Learning with Neural Networks
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Modern Statistics for Modern Biology
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Cambridge International AS & A L...
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