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.

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.

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, …

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 …

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.

To read an excel file as a DataFrame, use the pandas read_excel() method. You can read the first sheet, specific sheets, multiple sheets or all sheets. Pandas converts this to the DataFrame …

Mar 28, 2025 · This blog will explore the fundamental concepts, usage methods, common practices, and best practices for reading Excel files in Python.

openpyxl is a Python library for reading and writing to Excel (.xlsx) files. This guide covers basic operations as well as advanced features.

Jul 23, 2025 · Don't worry in this tutorial we are going to learn about how to work with Excel using Python, or automating Excel using Python. We will be covering this with the help of the Openpyxl …