Highlights from this week: Custom GPTs Immortal Python Objects Hidden Gems in VS Code and Parameterball.

One of my standard approaches to scraping content from a dynamic website is to diagnose the API behind the site and then use it to retrieve data directly. This means that I can make efficient HTTP requests using the requests package and I don’t need to worry about all ...

One of my standard approaches to scraping content from a dynamic website is to diagnose the API behind the site and then use it to retrieve data directly. This means that I can make efficient HTTP requests using the requests package and I don’t need to worry about all ...

Code that moves data to and from S3 can slow down testing. A lot. This post demonstrates how you can speed things up by mocking S3.

There’s one major problem with ChromeDriver: anti-bot services are able to detect that a browser session is being automated (as opposed to being used by a regular meat sack) and will often impose restrictions or deny connections altogether. The Undetected ChromeDriver (undetected-chromedriver) Python package is a patched version of ...

A linter and a styler can help you to write cleaner and more consistent code. In this post we’ll look at how to set up both for a Python project.

I’m building a model which requires historical weather data from a selection of locations in South Africa. In this post I demonstrate the process of acquiring the data and doing some simple processing.

I occasionally write scripts where I need to persist some information between runs. These scripts are often wrapped in a Docker image and deployed on Amazon ECS. This means that there is no persistent storage. I could use a database, but this would be overkill for the volume of data ...

I’ve just started collaborating on a new project, Votela, with Luke. We’re going to be using Firestore for stashing our data. I’ve never worked with Firestore before, so one of my first tasks was just figuring out how to get connected and how to shift some data ...