Boris Gorelik bgbg

## gist:2659700
>>> m = [[]] * 10
>>> m
[[], [], [], [], [], [], [], [], [], []]
>>> #everything seems to be OK
...
>>> m[0].append(10)
>>> m
[[10], [10], [10], [10], [10], [10], [10], [10], [10], [10]]
>>> #shit!
...

## tictoc.py
import time


class TicToc:
    """ A simple stopwatch object"""
    def __init__(self, name=None, start=True):
        if name is None:
            name = 'Running time'
        self.name = name
        self.dt = 0.0

## triple_apply_problem.ipynb

      
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              January 26, 2016 14:55
            
          
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## another_triple_apply_pecularity.ipynb

      
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                Another triple_apply pecularity
              
          
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## israeli_gender_payment_gap.ipynb

      
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                / israeli_gender_payment_gap.ipynb
            
            
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              February 7, 2018 12:16
                — forked from anonymous/israeli_gender_payment_gap.ipynb
            
              
                israeli_gender_payment_gap.ipynb
              
          
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## monty_hall.ipynb

      
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                / monty_hall.ipynb
            
            
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              February 7, 2018 12:21
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                monty_hall.ipynb
              
          
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## observation_adjustment.py
np.random.seed(123456)
N = 100
aim = 0
scale = 0.5
adjusted = []
for i in range(N):
    curr = np.random.randn() * scale + aim
    adjusted.append(curr)
    aim = -curr
non_adjusted = np.random.randn(N)*scale

## emphasizing in graphs.ipynb

      
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              November 12, 2018 18:53
            
              
                Untitled.ipynb
              
          
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## stackoverflow_jobs.ipynb

      
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              March 16, 2020 15:35
            
          
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## corona_vs_flu.ipynb

      
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	>>> m = [[]] * 10
	>>> m
	[[], [], [], [], [], [], [], [], [], []]
	>>> #everything seems to be OK
	...
	>>> m[0].append(10)
	>>> m
	[[10], [10], [10], [10], [10], [10], [10], [10], [10], [10]]
	>>> #shit!
	...
	import time


	class TicToc:
	""" A simple stopwatch object"""
	def __init__(self, name=None, start=True):
	if name is None:
	name = 'Running time'
	self.name = name
	self.dt = 0.0
	np.random.seed(123456)
	N = 100
	aim = 0
	scale = 0.5
	adjusted = []
	for i in range(N):
	curr = np.random.randn() * scale + aim
	adjusted.append(curr)
	aim = -curr
	non_adjusted = np.random.randn(N)*scale