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In this video, I talk about some good coding practices to be a strong programmer in data science. We talk all the time on this channel about the need to know at least one programming language like R or Python, but then once you're working with a language (any language), what are some of the best practices?
1) Define the purpose of the code
2) Minimize things that will (inevitably) need to be changed
3) Work from the top down, not to the right
4) Use descriptive variable and function names
5) Use functions rather than repeating code
6) But don't go overboard with chaining functions
7) Pay attention to datatypes
8) Provide adequate documentation and comments
9) Check for the latest and greatest packages for the task
10) Test as you go
#DataScience #BreakingIntoDataScience #ProgrammingForDataScience
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