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Vertical Jumping for Data Scientists in the Twilight of Their Basketball Glory

The slam dunk in basketball My friend threw a perfect lob pass to me in training, an “alley-oop”. Everything about my jump was perfect, perfect timing, perfect take-off. Half my hand was over the rim and as the ball came down I tucked it over the rim. By no means was it a thunderous dunk, it was pretty weak really, but I was 15 years old, it was 1997 and it was my first dunk. I was able to do weak dunks before games at age 17, but then a series of ankle injuries, school and university meant I didn’t achieve the same feat for the next 20 years. Even now, I’m not very consistent, some days are great, other days I struggle. I’m still working on and refining things. Dwight Howard jumping like Su

Is Julia the next thing for Data Science?

TLDR: I’m not going to learn Julia yet, but I am interested in seeing what happens with the community and the data science ecosystem, please let me know if you agree/ disagree. Julia version 1.0 released On 8th August 2018 a version 1.0 of the Julia programming language was released. The aims of the contributors are ambitious and noble at the same time: “We want a language that’s open source, with a liberal license. We want the speed of C with the dynamism of Ruby. We want a language that’s homoiconic, with true macros like Lisp, but with obvious, familiar mathematical notation like Matlab. We want something as usable for general programming as Python, as easy for statistics as R, as natural

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