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.

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, …

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.

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.

Jul 13, 2010 · You either need to save the file in a plain-text format such as CSV (comma-separated values), which is easier to read with python, or install and use a 3rd party module …

Feb 20, 2025 · This guide will walk you through exactly how to load Excel files into your notebook using the pandas library, covering everything from simple reads to handling more complex files …

Aug 1, 2024 · Learn how to import Excel into Python easily with our beginner-friendly guide. Follow our clear, step-by-step instructions to get started today!

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

In this step-by-step tutorial, you'll learn how to handle spreadsheets in Python using the openpyxl package. You'll learn how to manipulate Excel spreadsheets, extract information from …