Python has become the go-to language for building impactful data analytics projects, from cleaning messy datasets to creating compelling visualizations. With the right mix of libraries like Pandas, ...

In this video, we will build a dynamic monthly budgeting and forecasting model in Excel, known as a rolling 12-month forecast. We will analyze actual operating expenses for each department and ...

A former Snowflake data scientist who refined multi-billion-dollar forecasts is now building AI models that outperform Claude ...

AI Pioneers Back Startup Building Models to Predict Events Sooth Labs, whose team includes Chuck Hoover, Yaser Sheikh and Ruslan Salakhutdinov, aims to help businesses forecast the likelihood of ...

Agentic AI is the tech industry’s newest success story, and companies like OpenAI and Anthropic are racing to give enterprises the tools they need to create these automated little helpers. To that end ...

In this tutorial, we build a comprehensive, hands-on understanding of DuckDB-Python by working through its features directly in code on Colab. We start with the fundamentals of connection management ...

In this tutorial, we explore how to use Google’s LangExtract library to transform unstructured text into structured, machine-readable information. We begin by installing the required dependencies and ...

Coders have had a field day weeding through the treasures in the Claude Code leak. "It has turned into a massive sharing party," said Sigrid Jin, who created the Python edition, Claw Code. Here's how ...

ORLANDO, Fla. – While the 2025 Atlantic hurricane season may not have been the busiest in recent years, it did come with some noteworthy storms. The season brought three Category 5 hurricanes, the ...

Anthropic exposed the full source code for Claude Code after a misconfigured source map file was published to npm, offering a rare look inside one of the company’s most important commercial products.

Quantile neural networks This repo describes python code and input data files for "Forecasting stock return distributions around the globe with quantile neural networks". Minimum working example is ...

Code for our SIGKDD'25 paper: "BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models". The advent of universal time series forecasting models has revolutionized zero-shot ...