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Array and Slow Motion - Blender Tutorial for Beginners - 169

Basic tutorial to Using Array in Blender, Slow and Fast motion. 00:00 Preview 00:23 Cube 01:03 Use Arrays 01:47 Reposition the Box 02:33 Split big box into small boxes 03:16 Rigid Body 04:19 Light and ...
IEEE

Invited Tutorial: Analog Matrix Computing With Crosspoint Resistive Memory Arrays

Abstract: Matrix computation is ubiquitous in modern scientific and engineering fields. Due to the high computational complexity in conventional digital computers, matrix computation represents a ...
CSOonline

North Korea’s ‘Job Test’ trap upgrades to JSON malware dropboxes

North Korea-linked Contagious Interview campaign is now luring developers with trojanized coding tasks and pulling obfuscated payloads from public JSON-storage services like JSON Keeper, JSONSilo, and ...
GitHub

A TUTORIAL ON POINTERS AND ARRAYS IN C

This is A TUTORIAL ON POINTERS AND ARRAYS IN C Version 1.3 by Ted Jensen. I am putting this up on my Github account as it appears that Ted has taken down his website where this tutorial was located. I ...
C&EN

The String Method with Swarms of Trajectories: A Tutorial for Free-Energy Calculations Along a Zero-Drift Pathway

Laboratoire International Associé Centre National de la Recherche Scientifique et University of Illinois at Urbana−Champaign, Unité Mixte de Recherche n7019, Université de Lorraine, 54506 ...
IEEE

Sparse Linear Arrays for Direction-of-Arrival Estimation: A Tutorial Overview

Abstract: Sparse linear arrays serve as the fundamental basis for sparse signal processing and have demonstrated remarkable direction-of-arrival (DOA) estimation performance. Due to the merit of ...
InfoWorld

String comparisons in Java

Java’s String class encapsulates an array of bytes. A byte can be converted to a char, in which case, String becomes an array of characters used to compose words, sentences, or any other data you want ...
GitHub

SciPy 2024 tutorial: Thinking in Arrays

This tutorial is an introduction to array-oriented programming. We'll focus on techniques that are equally useful in NumPy, Pandas, xarray, CuPy, Awkward Array, and other libraries, and we'll work in ...