数据科学中的R与Python
1.看一些图
Fig 1: KDnuggets Analytics/Data Science 2017 Software Poll: top tools in 2017, and their usage in the 2015-6 polls
Fig 2: Top Analytics/Data Science Tools in 2017 KDnuggets Poll
- Attracting about 2,900 voters, almost exactly the same as last year
- Source:https://www.kdnuggets.com/2017/05/poll-analytics-data-science-machine-learning-software-leaders.html
Fig 3: Share of Python, R, Both, or Other platforms usage for Analytics, Data Science, Machine Learning, 2016 vs 2017
Fig 4: Python vs R vs Rest by Region, 2016 vs 2017
- The results, based on 954 voters
- Source:https://www.kdnuggets.com/2017/08/python-overtakes-r-leader-analytics-data-science.html
- Source:https://www.kdnuggets.com/polls/index.html
2.个人感受
个人:
- 4.5年的R语言开发实战经验
- 2.1年的Python语言开发实战经验
- 对R的感觉:学R不思则罔,思R不学则怠
- 对Python的感觉:每天对你都有新的认识
3.生活处处存在阵营之争
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Linux Windows, Mac OS?
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ios Android?
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美团,饿了吗?
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R Python?
怎样解决?
4.学会在适当的时机‘叛逃’
Fig 5: ‘数据科学家’ 的‘叛逃’路线 2016 vs 2017