Hasil-Sharma

# remap prefix from 'C-b' to 'C-a'
unbind C-b
set-option -g prefix C-a
bind-key C-a send-prefix

# split panes using | and -
bind | split-window -h
bind - split-window -v
unbind '"'
unbind %

Hasil-Sharma

import numpy as np

def softmax(x):
  """ Compute the softmax for each row of the input x
  Arguments:
  x -- A N dimensional veector or M X N dimensional numpy matrix.
  Return:
  x -- modified x in-place
  """
  

Hasil-Sharma

import pandas as pd
df1['marker']  = 1
joined = pd.merge(df1, df2, on = ['column'], how = 'left')
# Required columns are the ones with marker as NaN
df1 = joined[pd.isnull(joined['marker'])][df1.columns]