Скачать с ютуб 1000x faster data manipulation: vectorizing with Pandas and Numpy в хорошем качестве

1000x faster data manipulation: vectorizing with Pandas and Numpy

Speaker: Nathan Cheever The data transformation code you're writing is correct, but potentially 1000x slower than it needs to be! In this talk, we will go over multiple ways to enhance a data transformation workflow with Pandas and Numpy by showing how to replace slower, perhaps more familiar, ways of operating on Pandas data frames with faster-vectorized solutions to common use cases like: if-else logic in applied row-wise functions dictionary lookups with conditional logic Date comparisons and calculations Regex and string column manipulation and others! ... without needing a beefier computer, writing Cython, or other libraries outside the Pandas ecosystem.