As promised in our previous post, for the R programming language, this one will focus on resources for Python.
Although R may have a longer heritage within the Statistics and Data Science community, Python could be described as a more complete programming language.
In my conversations with clients and Data Science leaders, I’ve also heard a number praise Python as much quicker to learn. So,although both languages are proving popular with analytics teams, there is perhaps a choice between the more statistically grounded R and the easier programming in Python.
But, even that distinction is now less clear, as both benefit from the kind of support/resources ecosystem that I mentioned in my post on R.
So, enough introduction, let me share some resources that I’ve found to help Python coders (and would be coders). Enjoy diving in, at the risk of getting bitten by the coding bug. (more…)