Python编程指南：生物科学入门手册

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《Python for the Life Sciences: A Gentle Introduction to Python for Life Scientists》是由亚历山大·兰开斯特(Alexander Lancaster)和戈登·韦伯斯特(Gordon Webster)合著的一本教程书籍，专为生命科学领域的专业人士设计。本书旨在从第一章起，通过与生命科学家们日常工作中熟悉的事例，引导读者掌握Python的基础知识。作者强调，本书内容涵盖了广泛的实践应用，包括自动化实验室计算、基因启动子序列搜索、分子结构旋转、控制96孔板机器人、构建细胞开关、模拟动物皮毛图案形成、虚拟植物生长、流感疫情模拟以及种群演化等。本书适合那些希望将Python技术引入生物科学研究的人，无论你是初学者还是有一定基础的用户，都可以通过本书找到适合自己的学习路径。书中的例子紧密结合了生命科学的实际场景，使学习过程更具实际意义。读者在阅读过程中不仅能学习编程语言，还能了解到如何将Python工具应用于解决生物学问题，提升科研效率。本书采用国际标准书号(ISBN-13)区分纸质版(978-1-4842-4522-4)和电子版(978-1-4842-4523-1)，并提供了一个DOI链接(https://doi.org/10.1007/978-1-4842-4523-1)，方便读者获取原著授权和更新信息。版权方面，所有内容受兰开斯特和韦伯斯特的保护，任何复制、传播或改编必须获得出版商许可。书中还提及了商标名称、标志和图像的使用，为了尊重知识产权，作者选择在适当位置提及这些标识，而不是频繁地使用商标符号。这体现了作者对学术规范的尊重和对知识产权的保护意识。《Python for the Life Sciences》是一本实用且深入浅出的教程，不仅适用于生命科学领域，也适合对Python在科研中应用感兴趣的其他专业人士，帮助他们在生物研究中实现数据处理、模型构建和自动化分析等方面的进步。

xviii

Informatics is a key component of modern biological science, and programming

skills are essential for the modern life sciences researcher. Even if one does not write

programs, the ability to read and understand code is becoming as important as being

able to read a published paper. Webster and Lancaster’s Python for the Life Sciences is

an excellent tutorial for both programming novices and experienced coders who wish to

learn Python.

—Steven J.Mack, Assistant Scientist, Children’s Hospital

Oakland Research Institute

Praise for PyThon for The life sCienCes

xxiii

Why Python?

Python

is one of the most popular and rapidly growing computer programming

languages. You can use it for everything from the tiniest tasks such as a simple script

of a few lines of code for reading and processing a data file from a lab instrument to

large-scale research projects such as the development of Monte Carlo simulations for

exploring protein folding.

Did we mention that Python is free!

Yes, for zero down and zero payments of zero dollars, you can get the same official

Python distribution that is used at NASA, and at Industrial Light & Magic, Google, and

a host of other major organizations, the mere mention of whose names should leave

you awestruck, breathless, and wondering how come you waited so long to jump on the

Python bandwagon.

Not only is Python free, but the good news is that if your computer is an Apple

Mac or Linux machine, there’s probably already a Python distribution installed on

your machine. If you’re on Windows or some other operating system that we haven’t

mentioned already, fear not– there’s very likely a simple, self-installing Python

distribution for your computer that you can download from the Internet and install in

next to no time.

Python code can be run as is, as soon as you have written it. Unlike some other

programming languages, there’s no need for the programmer to compile the code into

an executable format that your computer can run. All of this is taken care of for you,

under the hood as it were. This makes writing, testing, and tweaking your code much

easier, since traditional, compiled languages require that the code be recompiled every

time it is changed.

In contrast with some other programming languages that enforce more advanced

and harder-to-learn code-writing styles such as object-oriented programming (OOP),

Python also allows you (for code projects where it’s more appropriate) to write the

kind of simple, procedural code that you’re probably used to seeing if you’ve ever

www.python.org/

https://conference.scipy.org/scipy2010/slides/jan_meinke_protein_folding.pdf

Prologue

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