Python glob glob change datatype during import

Title: A Guide to Python's glob Module: Changing Datatypes During Import
Introduction:
Python's glob module is a powerful tool for working with file paths and directories. When combined with other modules like os and pandas, it becomes a versatile solution for handling and processing data files. In this tutorial, we'll explore how to use the glob module to import files dynamically and demonstrate how to change datatypes during the import process.
One common scenario is dealing with datasets where the default datatype inferred by tools like pandas may not be optimal. The ability to dynamically change datatypes during the import process can improve performance and memory usage.
Let's consider a scenario where you have a directory containing CSV files, and you want to import them using pandas. However, the default datatype inference might not be suitable for your data, and you want to explicitly set datatypes during the import.
Using the glob module in combination with pandas and custom datatype mappings allows you to efficiently import and process data from multiple files. This flexibility is especially beneficial when dealing with datasets with specific datatype requirements. Experiment with different scenarios and adapt the provided code to suit your specific needs.
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