In the previous two posts in this series we have explored the values and principles outlined in Extreme Programming Explained by Kent Beck and Cynthia Anders (XP Explained). In this post we will discuss perhaps the most contentious of the three layers: practices.
What relevance do XP practices have for data scientists? What are the benefits and disadvantages of these practices? Are there any that we should modify for a data science environment?