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 ...

Overview Structured Python learning path that moves from fundamentals (syntax, loops, functions) to real data science tools ...

JupyterLab is a web-based interactive development environment for notebooks, code, and data. Its flexible interface allows users to configure and arrange workflows in data science, scientific ...

This is a collection of tutorials and worked examples for use of ixdat, the In-situ Experimental Data Tool. The tutorials here are intended to demonstrate general features of ixdat and give a sense of ...

The VACC Open OnDemand instance offers several choices of Python to choose from. The Anaconda distribution(s) with over 250 installed packages will cover most common scenarios except some specialized ...

In this tutorial, we demonstrate how to federate fine-tuning of a large language model using LoRA without ever centralizing private text data. We simulate multiple organizations as virtual clients and ...

According to NotebookLM (@NotebookLM), their 'Intro to NotebookLM' is a featured AI-powered notebook designed to help users leverage NotebookLM's capabilities for project management and productivity.

Have you ever wondered how some of the most complex AI models or data-driven insights are built without requiring a supercomputer or expensive software? Enter Google Colab, a platform that has become ...

Google Colab, also known as Colaboratory, is a free online tool from Google that lets you write and run Python code directly in your browser. It works like Jupyter Notebook but without the hassle of ...