Originally published at: https://developer.nvidia.com/blog/mastering-string-transformations-in-rapids-libcudf/
Learn how RAPIDS libcudf accelerates data science with optimized string processing algorithms and explore techniques for writing your own custom string transformations.
To run the examples, first build:
user@123:~/cudf/cpp/examples# ./build.sh
and then execute:
user@123:~/cudf/cpp/examples/strings# ./build/libcudf_apis names.csv
table: 20 rows 2 columns
Wall time: 0.00108626 seconds
Output size 133 bytes
Check it out!
I’m happy to share that we now have a cuDF-python implementation of the “redact” strings transformation. In this case, cuDF uses the libcudf strings API to deliver excellent acceleration.
Please see our new notebook for more information: GitHub - shwina/cudf-string-examples: Examples of working with strings in cuDF
