A comprehensive guide to file comparison and merging in Python, covering various techniques from basic file operations to advanced merging strategies using libraries like pandas and difflib. The artic
le provides practical code examples for handling different file types and scenarios, including CSV processing, deduplication, and smart merging.
Reasons to Read -- Learn:
how to efficiently handle large-scale file operations in Python, with practical code examples for comparing and merging multiple files using different approaches and libraries.
how to work with CSV files using pandas, including advanced techniques for column-wise merging, row-based combining, and smart merging with custom sorting criteria.
memory-efficient strategies for handling large files, including line-by-line comparison techniques and deduplication methods that can be applied to real-world data processing tasks.
publisher: @tubelwj
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