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.

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, …

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.

Nov 12, 2024 · This article shows how to create and read Excel files in Python using the pandas, xlsxwriter, and openpyxl modules.

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 …

Aug 9, 2022 · By default, the read_excel() method reads the first Excel sheet with the index 0. However, we can choose the other sheets by assigning a particular sheet name, sheet index, or even a list of …

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.

Nov 14, 2025 · Python, with its rich ecosystem of libraries, provides several ways to read Excel files. This blog post will explore the fundamental concepts, usage methods, common practices, and best …

Jul 23, 2025 · In this example, a Python program utilizes the openpyxl module to read an Excel file ("gfg.xlsx"). It creates a cell object by specifying a range from 'A1' to 'B6' in the active sheet and …