In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

This repository gives an example of how to run a Python analysis script on UCL's Myriad cluster. The script here loads a sequence of comma separated value (CSV) files from a data directory, computes ...

Python is an easy-to-learn language that works great for data analysis. This repo's purpose is to showcase some of the basic abilities Python (and some of its more popular packages) have for cleaning, ...

Geospatial data analysis is critical in urban planning, environmental research, agriculture, and transportation industries. The growing need has led to an increase in the use of Python packages for ...

The Dataverse SDK for Python is a comprehensive toolkit that empowers professional developers and data scientists to unlock advanced analytics, automation, and innovation in Microsoft Dataverse.

Most marketing professionals are familiar with various sources of customer data that promise insights for success. There are extensive sources of data, from customer surveys to digital marketing data.

Magnetoencephalography and electroencephalography (M/EEG) measure the weak electromagnetic signals generated by neuronal activity in the brain. Using these signals to characterize and locate neural ...

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 ...

Recall that R is a statistical programming language—a language designed to do things like t-tests, regression, and so on. The core of R was developed during the 1970s and since then, many libraries ...