With the popularity of data analysis through programming, there are perhaps more people writing code than ever. But coding best practices are often lagging in teams that have a background different than the tipical computer science professional.Do you have any stories you can share where things whent horribly wrong becuase you and / or your team were not using some form of version control? Or perhaps you were using version control but not in the right way (git can be complex in the beginning).If you have any horror stories to share that would be great. I would like to use them to illustrate a talk about the importance of version control in data science.