Python for the Life Sciences : A Gentle Introduction to Python for Life Scientists
Language: English
Published by Apress, 2019
- Softcover
- New

Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
US$ 74.26
Quantity: 1 available
Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - 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-startyour research, this is the book for you.What You'll LearnWrite Python scripts to automate your lab calculationsSearch for important motifs in genome sequencesUse object-oriented programming with PythonStudy mining interaction network data for patternsReview dynamic modeling of biochemical switchesWho This Book Is ForLife scientists with little or no programming experience, including undergraduate and graduate students, postdoctoral researchers in academia and industry, medical professionals, and teachers/lecturers.'A comprehensive introduction to using Python for computational biology. A lovely book with humor and perspective' -- John Novembre, Associate Professor of Human Genetics, University of Chicago and MacArthur Fellow'Fun, entertaining, witty and darn useful. Amagical portal to the big data revolution' -- Sandro Santagata, Assistant Professor in Pathology, Harvard Medical School'Alex and Gordon's enthusiasm for Python is contagious' -- Glenys Thomson Professor of Integrative Biology, University of California, Berkeley.…
Seller Inventory # 9781484245224
- Title
- Python for the Life Sciences : A Gentle Introduction to Python for Life Scientists
- Author
- Alexander Lancaster
- Publisher
- Apress
- Publication year
- 2019
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1484245229
- ISBN 13
- 9781484245224
- Item weight
- 771 grams
- Dimensions
- 254x178x23 mm
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.
"Synopsis" may belong to another edition of this title.
About the Author
Alex has published many peer-reviewed papers and was a co-developer of the open-source agent-based modeling toolkit, Swarm, one of the first tools for large-scale modeling of collective behavior in biology and beyond.
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 faculty to vice president.
"About the title" may belong to another edition of this title.
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