“Which language do you use at work?” I get this question quite often. My short answer is usually “Python for research and Scala for production”. In this post, I will give more descriptive answers and examples to this question.
Time flies. It’s been 7 months since I started to work as a full-time Data Scientist. It sometimes feels much shorter than 7 months: imaging neurons in the laboratory as a graduate student and walking on the stairs in front of Alma mater on campus was just like yesterday. It sometimes feels much longer than that: working is so vastly different from academic study, and I’ve learned so much on so many aspects of data science within this short-long period of time, that my mind and understanding of the industry and the world hardly resembles the graduate student me.
Here I am summarizing a few lessons I learned from work.