The power of Python trumps Excel workbooks.

An end-to-end E-Commerce Finance Analytics pipeline converting raw transactional data into KPIs and visual insights.

𝗡𝘂𝗺𝗣𝘆 𝘃𝘀 𝗣𝗮𝗻𝗱𝗮𝘀 — 𝗪𝗵𝗶𝗰𝗵 𝗦𝗵𝗼𝘂𝗹𝗱 𝗬𝗼𝘂 𝗟𝗲𝗮𝗿𝗻? 𝗡𝘂𝗺𝗣𝘆 → Fast numerical computing, arrays, math operations, and high-performance processing. 𝗣𝗮𝗻𝗱𝗮𝘀 → DataFrames, ...

A library that lets you use Python to manipulate Excel files. Instead of rebuilding complex Excel logic in Python, you let Excel do what Excel does best. Push cleaned data into a pre-formatted ...

About The "Credit Card Database" project analyzes 26,052 transactions using Python, SQL, and Power BI to uncover spending behavior, trends, and anomalies. It provides insights like gender-based ...

3.15做的兼容性真的很好，不改原有导入习惯，只加极小标识，分全局开启、单个模块精准开启两种用法，适配所有开发习惯。 写Python开发这么多年，有一个痛点，我相信绝大多数人都踩过。 项目越写越大，依赖越来越杂：pandas、torch、opencv、fastapi全套堆在头部 ...