Train your Python coding muscles using different weights
Array and string manipulation are among the most heavily tested topics in Data Science and Soft Engineering interviews. This is the best type of interview question that tests candidates’ ability to think programmatically and coding fluency. To perform well, we have to be familiar with the basic operations of arrays/strings, matrix and its row/column structures, and Python syntax.
In two similar blog posts, I’ve touched upon the basics and live-coded several real interview questions.
In today’s post, let’s try something different. As suggested by Emma Ding (Data Scientist at Airbnb) and Rob Wang’s (Data Scientist at Robinhood) post, we can significantly improve our understanding of various algorithms by coming up with multiple solutions to the same question while comparing and contrasting their pros and cons.
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