A new variation of the fake recruiter campaign from North Korean threat actors is targeting JavaScript and Python developers ...

Abstract: The application of Graph Neural Networks for pre-training models for source code is not well studied. We experimented with pre-training a Graph Neural Network model for Python on tasks of ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...

So, you want to learn Python? That’s cool. A lot of people are getting into it these days because it’s used for all sorts of things, from building websites to analyzing data. If you’re looking for a ...

Pygplib (Python First-Order Graph Property Library) is a Python module for constructing, manipulating, and encoding graph properties expressible with first-order logic of graphs. It serves as a ...