2.1 Python Data Matching Libraries

Data matching is a crucial skill to have in today's data-driven environment. Accurate data matching can save numerous hours and resources when combining databases, cleansing data, or looking for commonalities between data sets. Fortunately, Python, one of the most widely used programming languages, has a wide range of libraries intended to streamline and improve the procedure. Let's explore pandas and fuzzywuzzy, two of the most popular Python libraries for data matching.

On top of Python's NumPy module, Pandas is a potent open-source data analysis and manipulation tool. Its main data structure, the DataFrame, resembles a table (much like a spreadsheet) and makes it simple to store, manipulate, and combine data.

Using the Python library Fuzzywuzzy

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