We measured traffic noise in 25 homes across Singapore for a Straits Times interactive story. Here is how the data was collected and how we visualised it, as well as the science behind noise. In March ...

A software engineer and book author with many years of experience, I have dedicated my career to the art of automation. A software engineer and book author with many years of experience, I have ...

In this tutorial, we demonstrate how to build an advanced yet accessible Bioinformatics AI Agent using Biopython and popular Python libraries, designed to run seamlessly in Google Colab. By combining ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

This Python package has been tested on various PDF files, including example.pdf, under normal usage conditions. However, it has not undergone comprehensive testing and optimization yet. I will improve ...

Abstract: In order to assess the State of Charge (SOC) and State of Health (SOH) of batteries, this study proposes a hybrid machine learning model that combines Deep Neural Networks (DNNs) with ...

Data visualization is not just an art form but a crucial tool in the modern data analyst's arsenal, offering a compelling way to present, explore, and understand large datasets. In the context of ...

Data analysis is an integral part of modern data-driven decision-making, encompassing a broad array of techniques and tools to process, visualize, and interpret data. Python, a versatile programming ...

The recent announcement from Microsoft that they have now integrated Python into it’s Excel spreadsheet software has opened up a wealth of new applications for data analytics, automation and number ...