Posts

This blog post is about learning the skill of learning itself. We have ubiquitous Internet access, free access to YouTube and powerful LLMs like ChatGPT. These are tools that allow us to acquire almost any knowledge and learn almost any skill. Therefore, it becomes increasingly important to acquire a strong learning capability if we want to leverage these tools to the fullest extent.

FastHTML is not only an awesome tool for building web apps, but also to create beautiful representations of Python objects. In this blog post we dive into `__ft__` and apply it to the use case of quantum computing.

`fastcore` is an underrated Python library to simplify Python code and make you more productive. It is used extensively in [Answer.ai's](https://www.answer.ai) code. In this blog post I will show you 10 functions you can start using right away.

The `fastcore` Python library has many hidden gems that make your programming life a lot easier. One of them is `Transform`. I explain how to use it and why it works surprisingly well for simulating quantum circuits.

I wrote this website in FastHTML, so I'm writing this post in FastHTML about how easy and fun it is to write a website using FastHTML.

Predict soccer match outcomes with the Poisson Distribution and outer product. A visual introduction.