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Book details
Format: pdf
File Size: 6.94 MB
Print Length: 462 pages
Simultaneous Device Usage: Up to 4 simultaneous devices, per publisher limits
Publisher: Chapman and Hall/CRC; 2 edition (7 August 2017)
Sold by: Amazon Asia-Pacific Holdings Private Limited
Language: English
ASIN: B07VX96QZY
In today’s data driven biology, programming knowledge is essential in turning ideas into testable hypothesis. Based on the author’s 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.
For More Premium Graphics,Accounts,Freebies Visit >>> Forum.NulledPremium.com
Book details
Format: pdf
File Size: 6.94 MB
Print Length: 462 pages
Simultaneous Device Usage: Up to 4 simultaneous devices, per publisher limits
Publisher: Chapman and Hall/CRC; 2 edition (7 August 2017)
Sold by: Amazon Asia-Pacific Holdings Private Limited
Language: English
ASIN: B07VX96QZY
In today’s data driven biology, programming knowledge is essential in turning ideas into testable hypothesis. Based on the author’s 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.