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, …

Apr 6, 2025 · This blog post will explore the fundamental concepts, usage methods, common practices, and best practices for reading XLSX files in Python. Whether you are a beginner or an experienced …

Mar 11, 2025 · Learn how to read .xlsx files using Python and Pandas in this comprehensive guide. Discover the essential techniques for importing and manipulating Excel data effectively.

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 …

Read an Excel file into a pandas DataFrame. 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 …

Jul 26, 2025 · Python provides several libraries to handle Excel files, each with its advantages in terms of speed and ease of use. This article explores the fastest methods to read Excel files in Python.

Jul 27, 2025 · There are three popular libraries for reading XLSX in Python: openpyxl, pandas, and xlrd. Each has its strengths:

Learn how to read XLSX files in Python using Pandas—a simple and efficient method for data analysis. Follow step-by-step examples to load Excel data into DataFrames, read specific sheets, and …