In this chapter, we have discussed best practices to be followed by the teams working on scientific computing. The chapter started with a discussion on best practices for designing. After that, the best practices for coding were discussed. Later, the best practices for data management and application deployment were covered.

Next, the best practices for high-performance computing were discussed, and then the best practices for security and data privacy were presented. Then, we saw the best practices for maintenance and support. Finally, the best practices of general Python-based development were discussed.