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 · This article shows how to create and read Excel files in Python using the pandas, xlsxwriter, and openpyxl modules.

Feb 8, 2026 · This guide shows you how to import Excel files into pandas DataFrames efficiently, from basic single-sheet imports to advanced scenarios like reading multiple sheets simultaneously, …

6 days ago · Learn how to import an Excel file into Python using Pandas, including installing packages, setting file paths, and selecting sheets, etc.

Aug 9, 2022 · Excel is one of the most commonly used tools in data science. In this tutorial, we'll cover how to read and work with Excel files in Python.

Oct 30, 2025 · Learn how to use Excel with Python. Follow our step-by-step tutorial to read and import Excel files with Pandas and openpyxl.