Python and R are the two main statistical and machine learning programming environments. Python was first released in 1991 as a general purpose language; unlike R it was not targeted specifically at statistics and machine learning. It was rapidly embraced by the machine learning and artificial intelligence community in the "big data" era, and is now overtaking R in popularity in some surveys of users. Between R and Python, R has a richer set of statistical and machine learning modeling packages and is often preferred for the development and prototyping of models, while Python is often preferred its data handling and performance capabilities. We have courses in R and Python.
Basic programming in Python for novices:
Already somewhat familiar with Python programming? Start with:
Once you're familiar with Python, use it to master predictive analytics:
Move beyond predictive analytics to text analytics using Python:
Growing trend of Python popularity
Do you ever wonder if your skills are up to date? The chart above is from data on Google Trends that shows the popularity of Python. Here are some other indicators:
- The PYPL PopularitY of Programming Language Index uses raw data from Google Trends to analyze the frequency of how often a language tutorial is searched on Google. (This is an example of how the wisdom of the crowd is used.) They announced that Python is the most popular language with the largest growth in the last 5 years.
- The Economist article, Python is becoming the world’s most popular coding language, quoted TIOBE's, a software quality services vendor, announcement "Python Language of the Year 2018". TIOBE indicated that Python is the most-frequently-taught first language at universities and leads in the statistical, artificial intelligence, systems tests, web programming and scientific computing,
- Gregory Piatetsky-Shapiro of KDnuggets does an annual survey. In 2018, he observed, "Python eats away at R. Python already had over 50% share in 2017, and increased its share to 66%, while R share has decreased for the first time since we have done this poll, and dropped to below 50%. "
- Linda Burtch of Burtchworks surveyed her network of data scientists and analytics professionals to determine which tool they prefer to use – SAS, R, or Python and came up with a 3-way split between the three languages.
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