Rashmi Banthia rashmibanthia

## pandas_groupby_apply_multiprocessing.py
from joblib import Parallel, delayed
import multiprocessing
import pandas as pd
import time
def applyParallel(dfGrouped, func):
    retLst = Parallel(n_jobs=multiprocessing.cpu_count())(delayed(func)(group) for name, group in dfGrouped)
    return pd.concat(retLst)
def myfunc(df)
    return df


## seaborn_dark_background.ipynb

      
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                mwaskom
                / seaborn_dark_background.ipynb
            
            
              Created
              December 3, 2015 19:49
            
              
                Use seaborn with a dark background, if you like that sort of thing.
              
          
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## tmux-cheatsheet.markdown

      
              1 file
            
          
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                MohamedAlaa
                / tmux-cheatsheet.markdown
            
            
              Last active
              July 3, 2024 12:57
            
              
                tmux shortcuts & cheatsheet
              
          
    tmux shortcuts & cheatsheet

start new:
tmux

start new with session name:
tmux new -s myname
	from joblib import Parallel, delayed
	import multiprocessing
	import pandas as pd
	import time
	def applyParallel(dfGrouped, func):
	retLst = Parallel(n_jobs=multiprocessing.cpu_count())(delayed(func)(group) for name, group in dfGrouped)
	return pd.concat(retLst)
	def myfunc(df)
	return df