Modin: Speed up your Pandas workflows by changing a single line of code
-
Updated
Aug 21, 2021 - Python
#
modin
Here are 7 public repositories matching this topic...
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
-
Updated
Jun 25, 2021 - Python
A Kedro plugin that provides pandas dropin replacements for the pandas datasets (e.g modin and cuDF)
-
Updated
Feb 2, 2021 - Python
Open Data Profiling, Quality and Analysis on NYC OpenData dataset with semantic profiling using fuzzy ratio, Levenshtein distance and regex
big-data
pandas
pyspark
levenshtein-distance
hdfs
dask
regular-expressions
fuzzywuzzy
fuzzy-logic
data-profiling
nyc-opendata
modin
nyc-311-dataset
dask-distributed
-
Updated
Nov 10, 2020 - Jupyter Notebook
Simple example on how Modin can peed up your Pandas workflows by changing a single line of code
-
Updated
May 31, 2021 - Jupyter Notebook
Improve this page
Add a description, image, and links to the modin topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the modin topic, visit your repo's landing page and select "manage topics."
As per @krfricke, we should create a single
RayCommunicationactor class that holds both anasyncio Queueandasyncio Event. This way we only need one remote actor for all communication between training workers and the driver, and we don't have to be dependent onray.util.Queue