Interviews themselves were more conversational, but with one technical problem to solve. • Python functions: parameters, *args, **kwargs • Lists vs Arrays • Class vs instance variables • Reading files • Exceptions • Sets • OOP 1. Deep copy vs shallow copy 2. Object serialization 3. Microservices a. Scaling up performance b. Horizontal vs vertical scaling 4. Pythonic way of checking palindromes 5. Reading files a. What if the file has a billion+ lines? b. Multiple ways to do this 6. Behavioral a. Time when you've mentored someone b. Time when you've presented to a large group c. Talk about a relationship you've built at your work place d. Time when you had to convince someone something e. Time when you had to foster collaboration between multiple teams f. How do you do approach research? Time when you turned a problem into an opportunity
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