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Python for the life sciences : a gentle introduction to python for life scientists /
Treat yourself to a lively, intuitive, and easy-to-follow introduction to computer programming in Python. The book was written specifically for biologists with little or no prior experience of writing code - with the goal of giving them not only a foundation in Python programming, but also the confi...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
[New York, NY] :
Apress,
[2019]
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 049 | |a UAMI | ||
| 100 | 1 | |a Lancaster, Alexander. |e author | |
| 245 | 1 | 0 | |a Python for the life sciences : |b a gentle introduction to python for life scientists / |c Alexander Lancaster, Gordon Webster |
| 264 | 1 | |a [New York, NY] : |b Apress, |c [2019] | |
| 264 | 2 | |a New York, NY : |b Springer Science+Business Media New York | |
| 264 | 4 | |c Ã2019 | |
| 300 | |a 1 online resource | ||
| 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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| 504 | |a Includes bibliographical references and index | ||
| 505 | 0 | |a 1. Getting Started with Python -- 2. Python at the Lab Bench -- 3. Making Sense of Sequences -- 4. A Statistical Interlude -- 5. Open Doors to your Data -- 6. Finding Needles in Haystacks -- 7. Object Lessons -- 8. Slicing and Dicing Genomic Data -- 9. The Wells! The Wells! -- 10. Well on the Way -- 11. Molecules in 3D -- 12. Turning Genes on and off -- 13. Taming the Network Hairball -- 14. Genetic Feedback Loops -- 15. Growing a Virtual Garden -- 16. How the Leopard got its Spots -- 17. Foxes Guarding Hen Houses -- 18. A Virtual Flu Epidemic -- 19. Retracing Lifes Footsteps | |
| 520 | |a Treat yourself to a lively, intuitive, and easy-to-follow introduction to computer programming in Python. The book was written specifically for biologists with little or no prior experience of writing code - with the goal of giving them not only a foundation in Python programming, but also the confidence and inspiration to start using Python in their own research. Virtually all of the examples in the book are drawn from across a wide spectrum of life science research, from simple biochemical calculations and sequence analysis, to modeling the dynamic interactions of genes and proteins in cells, or the drift of genes in an evolving population. Best of all, Python for the Life Sciences shows you how to implement all of these projects in Python, one of the most popular programming languages for scientific computing. If you are a life scientist interested in learning Python to jump-start your research, this is the book for you |c publisher's description | ||
| 545 | |a Alex Lancaster is an evolutionary biologist, engineer, writer and consultant. Alex completed his Ph.D. in evolutionary biology at the University of California, Berkeley, and also holds bachelor's degrees in physics and electrical engineering. He has worked in research & development in both Australia and the United States with a major focus on evolutionary and systems biology. He has also worked extensively in genomics, analyzing next-generation sequencing data and has developed tools for clinical and population genomics, with a particular specialization in immunogenetic applications. He has held research and faculty positions in academia, as well as R&D positions in the broadcasting and IT industries; Gordon Webster has a PhD in biophysics and structural biology from the University of London, Gordon has worked in life science R&D in both Europe and the U.S., with a particular emphasis on molecular engineering and computational biology. In academic and commercial environments ranging from universities and medical schools to small venture capital-funded startups and global pharmaceutical companies, he has served in a diversity of roles from research faculty to company vice president. | ||
| 590 | |a Knovel |b ACADEMIC - Biochemistry, Biology & Biotechnology | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 590 | |a Knovel |b ACADEMIC - Software Engineering | ||
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 0 | |a Computer programming. | |
| 650 | 6 | |a Python (Langage de programmation) | |
| 650 | 6 | |a Programmation (Informatique) | |
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| 650 | 7 | |a Computer programming |2 fast | |
| 650 | 7 | |a Python (Computer program language) |2 fast | |
| 700 | 1 | |a Webster, Gordon |c (Biologist), |e author. | |
| 773 | 0 | |t Springer eBooks | |
| 776 | 0 | 8 | |i Print version: |a Lancaster, Alexander. |t Python for the life sciences. |d [Place of publication not identified] : Apress, 2019 |z 1484245229 |z 9781484245224 |w (OCoLC)1085148299 |
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