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Python for Data Analysis, 2nd Edition. (2017 October 正式版) 数据集

Computational Methods for Bioinformatics: Python 3.4 by Jason Kinser (Author) This textbook provides an introduction for computational methods in bioinformatics using a spreadsheet, Python 3.4 and MySQL. Methods are shown to manipulate basic information and to execute common analytical techniques. This text is designed for the biology student that has very little experience in computer analysis.

Python for Bioinformatics, Second Edition 2017 | ISBN: 1138035262, 1138094374 | English | 452 pages | PDF | 5 MB In today's data driven biology, programming knowledge is essential in turning ideas into testable hypothesis. Based on the authors extensive experience, Python for Bioinformatics, Second Edition helps biologists get to grips with the basics of software development. Requiring no prior knowledge of programming-related concepts, the book focuses on the easy-to-use, yet powerful, Python computer language. This new edition is updated throughout to Python 3 and is designed not just to help scientists master the basics, but to do more in less time and in a reproducible way. New developments added in this edition include NoSQL databases, the Anaconda Python distribution, graphical libraries like Bokeh, and the use of Github for collaborative development.

Python in a Nutshell 2017 最新版