This is the first part of a two-part series. In this post, I will introduce Flask-RestPlus and demonstrate how to start organising APIs around its simple REST-based conventions. Next time, I will address the topic of request/response marshalling (serialisation) and validation.
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:
My crypto-obsession from last year might have died down a little, but I still remain a long-term investor and a believer of decentralization. Moreover, it was predicting the crypto market’s next move that made dust off some of my old machine learning experiments and gave a fresh boost to my mission of becoming a data scientist. Though one could hardly hear me speak about this coin or that, I am still actively researching and building tools.
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: