Dive into The Register's online archive of incisive tech news reporting, features, and analysis dating back to 1998 ...

Python’s built-in data structures—like lists, tuples, sets, and dictionaries—are the backbone of efficient, readable, and scalable code. Knowing when and how to use each can drastically improve ...

Solutions and notes from Poridhi.io Backend Engineering (Modules 1–11). Covers basic programming, math, arrays, hashing, linked lists, recursion, trees, graphs, DP ...

An array is not useful in places where we have operations like insert in the middle, delete from the middle, and search in unsorted data. If you only search occasionally: Linear search in an array or ...

The Array API standard makes it possible to write generic code that works with many types of arrays (NumPy, Tensorflow, PyTorch, Dask, JAX, CuPy, MXNet, Xarray, ...). In principle, this would enable a ...

Abstract: As computing demands increase, the management and scheduling of a volume of jobs is becoming a significant challenge. This paper analyzes various data structures and algorithms used to ...

Abstract: Storage systems represent a growing market. In recent years there has been an explosion of applications that use enormous amounts of data. Disk arrays are today’s standard solution for ...