How to Read Multiple CSV Files Efficiently
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How to Read Multiple CSV Files Efficiently
In many situations, the data is often split into multiple CSV files and transferred to the DS/ML team for use.
As Pandas does not support parallelization, one has to iterate over the list of files and read them one by one for further processing.
"Datatable" can provide a quick fix for this. Instead of reading them iteratively with Pandas, you can use Datatable to read a bunch of files. Being parallelized, it provides a significant performance boost as compared to Pandas.
The performance gain is not just limited to I/O but is observed in many other tabular operations as well.
Read more here: DataTable Docs.
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