Excited about the recent announcement of https://github.com/rstudio/reticulate, which allows R and Python to be used together, and especially about how that can enable Shiny dashboards to be created with Python. Tutorial at https://rviews.rstudio.com/2018/04/17/reticulated-shiny/
Started some online work with datacamp this week. The first software I developed was in FORTRAN. Can you believe it? My professor told me to a Mechanical Engineer all software is FORTRAN. I moved to C. Those professors didn’t know what they were missing. c++ quickly became my happy place. And, from my perspective, most modern languages derive so much from that early work.
I can program PHP with my eyes closed. Try it and you’ll see just how tricky that is. Matlab and Mathematica were used frequently in grad school—but it’s been a while. Python seems to be the language of choice for quick data set investigation and integration with AI tools.
Python list comprehensions are cool! That’s one slick line of code to adjust an entire dataset.
phrase = 'List comprehensions are more interesting with numbers'.split() result = [[w.lower(), len(w)] for w in phrase] print(result)
Let the journey begin!
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