python很火,但是跟python类似的软件很多,例如RJulia等,参见编程语言的历史

就数据科学而言(data science),统计出身的数据科学家偏爱R一点,程序设计出身的数据科学家偏爱python一点;其实多数数据科学家是pythonR并用的——发挥各自的优势;很多数据科学还同时使用tableau、Excel、google spreadsheet。

python是通用的编程语言,是开源软件(open source)。简言之python类似安卓系统或苹果iso系统,python的活力在于有很多拓展功能包或功能库(library),类似手机操作系统上的app。所以从这个意义上讲,重点不是python,而是要做哪个方向的研究,选择响应的功能库(library)。例如常见的数据分析库是pandasnumpy,常见的数据可视化用matplotlib,常见的网页数据抓取是BeautifulSoupscapy

python的书非常多,通用的、针对特定的领域的,都是如此。

建议通过http://libgen.rs/免费下载英文电子书。

 

我推荐3本通用性强、有中译本的书(估计不同人的推荐会非常不同)

 

1.Automate the Boring Stuff with Python

1.1英文版

Sweigart, A. (2020). Automate the Boring Stuff with Python: Practical Programming for Total Beginners (2nd). No Starch Press.

http://libgen.rs/book/index.php?md5=BFE1E2B65DA651477404660AE468D148

https://automatetheboringstuff.com/

https://www.amazon.cn/dp/B07VSXS4NK/

https://www.amazon.com/-/zh/dp/1593279922

 automate-the-boring-stuff

cover automate python en

 

1.2中文翻译版(原书第1版)

Sweigart, A.(2016). Python编程快速上手——让繁琐工作自动化 编程快速上手——让繁琐工作自动化 (1st ). 人民邮电出版社. https://www.amazon.cn/dp/B01M68PABD

http://libgen.rs/book/index.php?md5=5EA4E155C46104B393AFF7366772476C

cover automate python cn

 

1.3原书第2版对应视频文件

https://www.udemy.com/course/automate/

automate udemy course logo

 

 

2.learn python in hard way

Shaw, Z. (2018). Learn More Python 3 the Hard Way: The Next Step for New Python Programmers. Addison-Wesley. http://libgen.rs/book/index.php?md5=5C39D11E8BDEE52F84E0F4A55B55F30D

learn python hardway en

Shaw, Z. (2018). “笨办法”学Python 3笨办法”学Python 3 (2nd). 人民邮电出版社有限公司. https://www.amazon.cn/dp/B07Y525WFQ

learn python hardway cn

 

3.python for data analysis

McKinney, W. (2017). Python for Data Analysis: Data Wrangling with Pandas, Numpy, and Ipython (2nd). O’Reilly Media, Inc. http://libgen.rs/book/index.php?md5=518B01712FF35354C5CF30B4913900FB

python data analysis en

McKinney, W. (2018). 利用Python进行数据分析 (2nd). 机械工业出版社. https://www.amazon.cn/dp/B07FW12FVC/

python data analysis cn

 

Tzachor, A., Richards, C. E., & Holt, L. (2021). Future foods for risk-resilient diets. Nature Food, 2(5), 326–329. https://doi.org/10.1038/s43016-021-00269-x
 
nature food2021May
 

 

Future foods for risk-resilient diets

Abstract

Future foods, such as microalgae, mycoprotein and mealworm, have been suggested as nutritious and sustainable dietary options. Here we consider one of the most profound, yet neglected, benefits of future foods farming systems—their potential to provide essential nutrition in the face of systemic disturbances—and discuss major barriers to realizing this prospect.

 

https://www.nature.com/articles/s43016-021-00269-x/figures/1

Current risk landscape of ASF PSF and future foods farming systems
Lazarus, J. V., Ratzan, S. C., Palayew, A., Gostin, L. O., Larson, H. J., Rabin, K., Kimball, S., & El-Mohandes, A. (2021). A Global Survey of Potential Acceptance of a Covid-19 Vaccine. Nature Medicine, 27(2), 225–228. https://doi.org/10.1038/s41591-020-1124-9
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A Day in the Life of Americans, this  is how America runs.

 
 
 
 
 
 
 

 
 
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如果同学想查询某个学者发表的论文,可以查看作者页

 

第1步:访问微软学术检索

https://academic.microsoft.com/home

microsoft academic01

 

第2步:检索作者名

输入查询作者名,例如【Michael Porter

microsoft academic02

 

第3步:点击文章中的作者名,就可以进入作者页 

https://academic.microsoft.com/author/2233085770

 

microsoft academic03

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 microsoft academic06conference

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microsoft academic08repositories

 

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