Excel isn't useless here, either. Poking one number and watching everything move is instant, and Excel's own Python in Excel ...
Learn how to build a Python AI agent with the OpenAI Agents SDK, using tool calling and function tools to automate multi-step workflows. You do not need to rewrite your Python applications to start ...
本内容遵循CC 4.0 BY-SA版权协议 这个项目落地之前，我先说一个很多数据分析新人容易陷入的误区：拿到数据就开干，不管数据质量，也不管最终给谁看、怎么讲。 我在做数据分析项目时，最常 ...
This project analyzes equity risk, diversification, and portfolio performance using historical market data. Python was used to calculate quantitative risk and performance metrics, while Tableau was ...
End-to-end housing analytics pipeline: 25 years of Zillow home-value data (26K+ US zip codes, ~8M monthly observations) loaded and modeled in Google BigQuery, validated with a Python reconciliation ...
A German academic research group today posted an open-source AI agent to arXiv that approaches ARC-AGI-3 — the interactive benchmark where frontier models including Claude Opus 5 still cannot reliably ...
In this tutorial, we build an advanced workflow around Anthropic’s financial-services repository and reproduce its skill-driven architecture in pure Python. We begin by installing the required ...
Utility tokens are blockchain-based tokens built for use inside a specific digital ecosystem. They can pay for storage, grant access to a feature, reward a contributor, secure a network through ...
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Guided learning for Python, SQL, Power BI & Tableau
This video introduces guided projects as a highly effective method for building a professional data portfolio. By utilizing tools like Python, Power BI, and Tableau, viewers can follow step-by-step ...
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