Sep 17, 2025 · pandas is the most popular library for data analysis in Python. It can quickly load Excel files into a DataFrame, making it easy to explore and manipulate tabular data.

You can read the first sheet, specific sheets, multiple sheets or all sheets. Pandas converts this to the DataFrame structure, which is a tabular like structure.

Supports xls, xlsx, xlsm, xlsb, odf, ods and odt file extensions read from a local filesystem or URL. Supports an option to read a single sheet or a list of sheets.

Feb 12, 2025 · In this tutorial, I explained how to read an Excel file in Python. I discussed an example of reading an Excel file, how to read multiple sheets, handling missing data, reading specific columns, …

May 21, 2025 · In this comprehensive guide, I‘ll walk you through everything you need to know about reading Excel files with Python—from basic operations to advanced techniques that will impress your …

Nov 12, 2024 · To get started with Pandas, you can read the documentation and find tutorials on the official Pandas website. It provides a comprehensive guide to all the functionalities provided by …

Oct 30, 2025 · Openpyxl is a Python library that allows users to read Excel files and write to them. This framework can help you write functions, format spreadsheets, create reports, and build charts …

Nov 19, 2025 · Xlrd is a Python library. It reads Excel files (.xls format). It extracts data and metadata. The library supports Excel 2003 format. It handles formulas and cell information. Xlrd works on all …

Apr 23, 2025 · Python offers several libraries to handle Excel files, each with its own set of features and capabilities. In this blog, we will explore the fundamental concepts, usage methods, common …

Well, you can make a quick script using openpyxl that iterates over every single User record and puts all the essential information into an Excel spreadsheet. That’s gonna earn you an extra slice of cake at …