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 · 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 …

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 13, 2025 · Python makes it easy with openpyxl. This library lets you read and write Excel files. It supports modern .xlsx format. What is Openpyxl? Openpyxl is a Python library. It reads and writes …

Jun 25, 2024 · Reading an Excel file in Python is a breeze with the right tools. By following a few simple steps, you can open, read, and manipulate Excel files using Python’s powerful libraries. This article …

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 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 …