Running Python scripts is one of the most common tasks in automation. However, managing dependencies across different systems can be challenging. That’s where Docker comes in. Docker lets you package ...

sas_dataset_json is a comprehensive SAS macro-package that enables seamless bidirectional conversion between SAS datasets and the CDISC-compliant Dataset-JSON v1.1 format. Developed with clinical data ...

What if the tools you already use could do more than you ever imagined? Picture this: you’re working on a massive dataset in Excel, trying to make sense of endless rows and columns. It’s slow, ...

This hands-on tutorial will walk you through the entire process of working with CSV/Excel files and conducting exploratory data analysis (EDA) in Python. We’ll use a realistic e-commerce sales dataset ...

Creating precise and structured instructions for AI agents is essential for achieving consistent, reliable, and organized outputs. If you ever found yourself frustrated with AI outputs that feel more ...

There are numerous ways to run large language models such as DeepSeek, Claude or Meta's Llama locally on your laptop, including Ollama and Modular's Max platform. But if you want to fully control the ...

Hello and thanks for this nice extension for 3D Slicer. I am currently trying to use my trained nnunetv2 model to segment using this extension. I am following the ...

In the age of data-driven decision-making, access to high-quality and diverse datasets is crucial for training reliable machine learning models. However, acquiring such data often comes with numerous ...