jupyterlite_beginner_tutorial_with_exercises_v2.ipynb — JupyterLite の基本操作と演習問題。 jupyterlite_xeus_r_stats_practice.ipynb — R 統計演習用 Notebook。 numpy_beginner_tutorial.ipynb — NumPy 初級：配列の作成 ...

Matplotlib mistakes often come from poor layout, unclear labels, and wrong scale choices, not from the data itself. Clear plotting improves when scatter plots and large datasets are simplified for ...

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 ...

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 ...

Google Colab is a really handy tool for anyone working with machine learning and data stuff. It’s free, it runs in the cloud, and it lets you use Python without a lot of fuss. Whether you’re just ...

Optical Character Recognition (OCR) is a powerful technology that converts images of text into machine-readable content. With the growing need for automation in data extraction, OCR tools have become ...

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 ...

Hello. Looks like contourpy started pinning numpy<2 in both their dev branch and releases. matplotlib pulls in contourpy as a required dependency. As a result, that forces CI to downgrade numpy to ...