On-Demand Request Logging in Flask
Not logging enough is as equally bad, as logging too much. What developers need is a turn-key way to log requests on demand.…
Using Ephemeral Docker Containers as CLI Applications
Docker containers have proven themselves extremely useful in allowing developers to sandbox environments and ease the deployment of services. Have a complicated service setup? No worries. Simply, describe the steps in a Dockerfile and you should be able to replicate the process on every host OS that has Docker support.…
Use Dotenv Files When Developing Your Python Apps
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…
Use Dotenv Files When Developing Your Python Apps
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…
Dependency Injection in Python: The Java Guy's Perspective
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.…
Designing Well-Structured REST APIs with Flask-RestPlus: Part 1
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…
Python: Automatic Argument Unpacking from a Dictionary
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(…
Data Science on Your iPad
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…