Why You Should Not Read CSVs with Pandas
Pandas adheres to a single-core computation, which makes its operations extremely inefficient, especially on large datasets.
The "datatable" library in Python is an excellent alternative with a Pandas-like API. Its multi-threaded data processing support makes it faster than Pandas.
The snippet demonstrates the run-time comparison of creating a "Pandas DataFrame" from a CSV using Pandas and Datatable.
Does this library work similar to 'data.table' library from R?
Thanks, very useful