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

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 ...

We're excited to announce a partnership with The Open Data Team at the NYC Office of Technology and Innovation (OTI), BetaNYC, and Data Through Design (DxD) for a hands-on tutorial focused on one of ...

I have eight years of experience covering Android, with a focus on apps, features, and platform updates. I love looking at even the minute changes in apps and software updates that most people would ...

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.

According to DeepLearning.AI (@DeepLearningAI), a new short course titled 'Jupyter AI: AI Coding in Notebooks' has been launched, taught by Andrew Ng and Brian Granger (@ellisonbg), co-founder of ...

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 ...

import os, sys, subprocess, time, json, requests, textwrap from pathlib import Path def sh(cmd, check=True): """Run a shell command, stream output.""" p = subprocess ...