Automatic differentiation is the foundation upon which deep learning frameworks lie. Deep learning models are typically trained using gradient based techniques, and autodiff makes it easy to get gradients, even from enormous, complex models. ‘Reverse-mode... (more…)

A high performance topological machine learning toolbox in Python - giotto-learn/giotto-learn... (more…)

Imagine the following situation: there is a software developer that is either adding new code or refactoring existing one by extracting a class/function. They have to place code somewhere, but it does not seem to fit anywhere. So what does a developer do?... (more…)

As Pavel Cisar promised at Firebird Conference in Berlin, the Firebird has brandnew DB API 2.0 driver for Python. It’s part of modernization campaignthat shakes off the legacy that goes back to KInterbasDB and Firebird 2.0. Please note, that his new drive... (more…)

Python dependency management is known to be bad. This post details how I set up my Python environment to be as hygienic as possible. (more…)