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.

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 · We will use the ExcelWriter() function to open a new Excel file. It has the following syntax: Here, The filename parameter takes the name of the Excel file that we want to open. …

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 …

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.

Apr 23, 2025 · In this blog, we will explore the fundamental concepts, usage methods, common practices, and best practices for reading Excel files in Python. An Excel file (.xlsx or .xls) …

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. …

Nov 29, 2025 · First, make sure Python is installed. Enter the following command in a terminal or command prompt to check the Python version. The recommended version is 3.7 or higher. …

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 …