8. Robustness and Performance
Once you’ve written a useful Python program, the next step is to productionize your code so it’s bulletproof. Making programs dependable when they encounter unexpected circumstances is just as important as making programs with correct functionality. Python has built-in features and modules that aid in hardening your programs so they are robust in a wide variety of situations.
One dimension of robustness is scalability and performance. When you’re implementing Python programs that handle a non-trivial amount of data, you’ll often see slowdowns caused by the algorithmic complexity of your code or other types of computational overhead. Luckily, Python includes many of the algorithms and data structures you need to ...
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