Learn how to create contour plots in Python using NumPy’s meshgrid and Matplotlib. This step-by-step tutorial shows you how to generate grids, compute functions over them, and visualize data ...

ABSTRACT: Accurate prediction of water travel time in drip irrigation systems is essential for efficient water and nutrient delivery. This study develops a predictive model for travel time by ...

Spinal Muscular Atrophy (SMA) is a genetic neurodegenerative disorder caused by reduced levels of the survival motor neuron (SMN) protein, leading to motor neuron dysfunction, muscle weakness, and ...

The following catalog lists all software for which a module exists. See the Installed Software Modules page for information about using software listed here. Note that where module preloads are listed ...

Abstract: Python is a simple, dominant and well-organized interpreted language. Python is used to develop the very high performance scientific related application and it is used to develop an ...

In this tutorial, we explore how we can seamlessly run MATLAB-style code inside Python by connecting Octave with the oct2py library. We set up the environment on Google Colab, exchange data between ...

If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...

Numerical linear algebra for quaternions — fast, practical, and well‑tested. QuatIca was inspired by the pioneering work in quaternion linear algebra, particularly the QTFM (Quaternion Toolbox for ...

ABSTRACT: Photovoltaic solar energy is a vital resource in addressing global environmental and climate change challenges, with particular significance in Jordan. However, the weather, which varies ...

What if you could turn Excel into a powerhouse for advanced data analysis and automation in just a few clicks? Imagine effortlessly cleaning messy datasets, running complex calculations, or generating ...

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 ...

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 ...