A new scratchpad console, additional customization options, and improved accessibility are now available for Jupyter users.

Jupyter Notebook remains a leading development tool, offering faster workflows through shortcuts, magic functions, improved debugging, AI integration, and performance upgrades that support modern ...

These are my go-to libraries for Python data crunching.

Uncover the hidden pitfalls of Excel regression and learn why Python is the key to unlocking clean, efficient data analysis.

Omp (oh-my-pi) is a batteries-included terminal coding agent with LSP, debugger, subagents and hash-anchored edits. Here's ...

@book{lim2025financialdatascience, author = {Terence Lim}, title = {Financial Data Science in Python Notebooks}, year = {2025}, url = {https://terence-lim.github.io ...

Abstract: Jupyter notebooks have become central in data science, integrating code, text and output in a flexible environment. With the rise of machine learning (ML), notebooks are increasingly used ...

This repository contains a collection of Jupyter Notebooks that support my Graph Data Science exploration blog posts using Neo4j.

Abstract: Water quality is crucial as it directly affects the ecosystem and human health. However, current water quality classification methods are inefficient because they do not compare prediction ...

As a condition of using these data, you must cite the use of this data set. Such a practice gives credit to data set producers and advances principles of transparency and reproducibility. Other ...