The course introduces basic data structures and algorithmic techniques that allow students to solve computational problems on the most important data types, such as sequences, sets, trees, and graphs.

In the world of network automation, managing data efficiently is crucial. Data structures play an essential role in how we organize, store, and manipulate this data. Understanding them helps us build ...

Essentials; Powerful Tools, Endless Possibilities... Python stands out as one of the richest languages in terms of data structures in the programming world. One of the most important factors behind ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. We propose a scheme for the automatic separation (i.e., clustering) of data sets ...

More than half of the Top 10 supercomputing sites worldwide use GPU accelerators and they are becoming ubiquitous in workstations and edge computing devices. GeNN is a C++ library for generating ...

Array programming provides a powerful, compact and expressive syntax for accessing, manipulating and operating on data in vectors, matrices and higher-dimensional arrays. NumPy is the primary array ...

Evaluating chemical safety and sustainability over the life cycle of products requires drawing upon the various data streams and impact assessment tools from the life cycle assessment (LCA) field, ...

A curated set of readable, well-organized notes and reference implementations for common data structures and algorithms in C++. These notes are intended for students, interview preparation, self-study ...

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 ...