Programming often involves creating configuration objects/dicts and passing them around to functions. Let’s say we want to pass the following configuration dict to a function:
This post is mainly a reiteration of an article, I found online. As of Java 8, we have had the ability to replace looping operations on collections with streams and functional operations. This applies to situations where we don’t have an up-front collection to iterate upon.
Often, we will want to get to get a specific row, which marks the minimum or maximum of one of its columns. Let’s suppose we have the SF Salaries dataset from Kaggle. We want to find the employee name, with the largest total pay benefits. The experience with writing NumPy/Pandas filter conditions will quickly let us produce the following version: