Overview: Prior knowledge of the size and composition of the Python dataset can assist in making informed choices in programming to avoid potential performance ...

We describe OHBA Software Library for the analysis of electrophysiology data (osl-ephys). This toolbox builds on top of the widely used MNE-Python package and provides unique analysis tools for ...

Data scientists and analysts rely heavily on Python libraries to extract insights from complex data sets. Pandas and Dask are two popular choices, but they cater to different use cases and ...

One of the long-standing bottlenecks for researchers and data scientists is the inherent limitation of the tools they use for numerical computation. NumPy, the go-to library for numerical operations ...

In computational chemistry, molecules are often represented as molecular graphs, which must be converted into multidimensional vectors for processing, particularly in machine learning applications.

I am training a LightGBM model in a distributed cluster setting using the Dask interface. When I set the early_stopping_rounds parameter, it causes the training job to hang indefinitely whenever the ...

Abstract: Python is a high level language that is used by scientists for numeric computations. However, the performance of the language can be a hindrance when scaling to larger data sets, requiring ...

Optimized apps and websites start with well-built code. The truth, however, is that you don't need to worry about performance in 90% of your code, and probably 100% for many scripts. It doesn't matter ...

Ubiquitous in immigrant households, the cookie tin might be a more apt metaphor for our journeys than the melting pot. By Raksha Vasudevan I was 5 or 6 when I first encountered it, while rummaging ...