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Summary: Discover Python libraries that facilitate the conversion of XLS files to XLSX format efficiently, opening up compatibility and enhancing functionality for spreadsheet data manipulation. Explore the features, advantages, and usage of these libraries for seamless file format conversion in Python programming.
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When dealing with spreadsheet data in Python, compatibility between different formats is crucial. Converting XLS (Excel 97-2003) files to the more modern XLSX format is a common necessity, as XLSX offers enhanced features and better compatibility with various applications. Fortunately, Python provides several libraries to streamline this conversion process. Let's delve into some popular options:

openpyxl

Features:

Openpyxl is a powerful library for reading and writing Excel (XLSX) files.

It doesn't directly support XLS format but can read XLS files via the xlrd library and write them to XLSX format.

Advantages:

Widely used and well-maintained.

Offers extensive functionality for working with Excel files beyond just conversion.

Usage:

[[See Video to Reveal this Text or Code Snippet]]

pandas

Features:

Pandas is a popular data manipulation library in Python.

It supports both XLS and XLSX formats and can be used for conversion.

Advantages:

Simple and intuitive API for handling data.

Offers extensive capabilities for data analysis and manipulation.

Usage:

[[See Video to Reveal this Text or Code Snippet]]

xlrd and openpyxl combination

Features:

Combining xlrd (for reading XLS) and openpyxl (for writing XLSX) provides flexibility in handling different file formats.

Advantages:

Allows precise control over the conversion process.

Utilizes the strengths of both libraries for efficient file handling.

Usage:

[[See Video to Reveal this Text or Code Snippet]]

Choose the library and method that best suits your requirements based on factors like simplicity, performance, and additional functionalities needed. These libraries empower Python developers to seamlessly convert XLS files to the XLSX format, ensuring smooth interoperability with modern spreadsheet applications.