过去处理 Excel 数据，你可能需要在 Excel 和 Python 之间反复切换：用 Excel 整理数据，导出为 CSV，再用 Python 分析，最后将结果复制回 Excel。 现在，整个流程能在 Excel 中闭环： 数据导入：Power Query 替代 pandas.read_excel，直接对接数据库、网页数据或本地文件。

大家好，这里是程序员晚枫。 之前给大家推荐了：Python处理Excel用哪个库？Pandas不是唯一选择 在做资料检索的过程中，我有了一个意外发现：微软的Excel，已经支持Python了？！ 我不会是最后一个知道的吧？今天这篇文章，我把官方教程的入门部分整理出来了。

免费的Excel教程，看着省了时间，烧掉的是工作效率、领导信任，还有“老子不想加班”的尊严！ 后来小美咬咬牙报了《Python自动化办公之Excel数据分析（pandas版）》。 一周后，她就发现，原来数据分析可以这么轻松！

Program-side access to Excel is interesting for many areas of application. It is therefore not surprising that Python provides libraries for this purpose. In addition to pandas, openpyxl should also ...

Ever wished you could do more with Microsoft Excel? Microsoft just announced the release of a public preview of Python in Excel, which would allow users to add Python code directly into a spreadsheet.

For this purpose, the pandas library provides the DataFrame method to_excel(). The following instruction creates a worksheet in the Demo1.xlsx workbook with the name Turnover 2nd quarter 2023 and ...

What if the tools you already use could do more than you ever imagined? Picture this: you’re working on a massive dataset in Excel, trying to make sense of endless rows and columns. It’s slow, ...

What if you could turn Excel into a powerhouse for advanced data analysis and automation in just a few clicks? Imagine effortlessly cleaning messy datasets, running complex calculations, or generating ...

Excel has been the undisputed king of spreadsheets for decades. Countless professionals rely on it daily for everything from simple data tracking to complex financial modelling. But if I told you that ...