Hard-coding configuration is bad. This is one of the things that newbie programmers learn quickly after they realize that have committed sensitive information to a public GitHub repository. And it happens so easily. Often, you are in the spur of the moment, wanting to test something locally, when you figure…
In this post, I will lay out my arguments why you might want to think about dependency injection for your next Python project. I am not trying to preach a certain style of "best-practice" programming, but simply, to share my perspective from the eyes of a seasoned Java developer.…
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.A seasoned Spring developer, I felt a bit…
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: config = { 'prop_a': 'foo', 'prop_b': 'bar' } Usually, a function that consumes this configuration dict would either expect a single parameter: def do_something(…
This article is a follow-up transcription to a talk I recently gave at a local Munich machine learning meetup. Unlike my previous talk, this time I wanted to convey the idea of using an iPad for actively running data science experiments, as opposed to passively consuming information. I illustrated my…
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…
Often, I would work on a Python module and add changes to it live, which I would then want to test immediately. Piece of cake! Add the changes and execute the script again. Well, that’s certainly a way, but as modules get bigger, they tend to import other modules,…
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/…