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@Coldsp33d
Coldsp33d / iter_vs_vec_benchmark.py
Last active November 8, 2024 13:59
Comparing iteration and vectorisation with a simple example
import perfplot
import pandas as pd
def vec(df):
return df['A'] + df['B']
def vec_numpy(df):
return df['A'].to_numpy() + df['B'].to_numpy()
def list_comp(df):
@bastman
bastman / docker-cleanup-resources.md
Created March 31, 2016 05:55
docker cleanup guide: containers, images, volumes, networks

Docker - How to cleanup (unused) resources

Once in a while, you may need to cleanup resources (containers, volumes, images, networks) ...

delete volumes

// see: https://github.com/chadoe/docker-cleanup-volumes

$ docker volume rm $(docker volume ls -qf dangling=true)

$ docker volume ls -qf dangling=true | xargs -r docker volume rm

@jlln
jlln / separator.py
Last active November 9, 2023 19:59
Efficiently split Pandas Dataframe cells containing lists into multiple rows, duplicating the other column's values.
def splitDataFrameList(df,target_column,separator):
''' df = dataframe to split,
target_column = the column containing the values to split
separator = the symbol used to perform the split
returns: a dataframe with each entry for the target column separated, with each element moved into a new row.
The values in the other columns are duplicated across the newly divided rows.
'''
def splitListToRows(row,row_accumulator,target_column,separator):
split_row = row[target_column].split(separator)