Tan Kok Hua spidezad

## gist:dffb1cecf1e550d73b6d
os.system("TASKKILL /F /IM xxx.exe")

## GIT commands help
http://www.siteground.com/tutorials/git/commands.htm

## GUI automation for windows
http://code.google.com/p/swapy/

## Counting Sort.ipynb

      
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                spidezad
                / Counting Sort.ipynb
            
            
              Created
              November 15, 2018 06:02
            
              
                Counting Sort Algo
              
          
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## get_html_links.py
import requests
from bs4 import BeautifulSoup

website = 'https://www.somewebsite.com'

r= requests.get(website)
soup = BeautifulSoup(r.text)

for a in soup.find_all('a', href=True):
    print(a['href'])

## SampleData.ipynb

      
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                spidezad
                / SampleData.ipynb
            
            
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              April 3, 2019 09:08
            
          
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## SampleData.ipynb

      
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                / SampleData.ipynb
            
            
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              April 3, 2019 09:15
            
          
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## gist:a786aced61b073b3f39baa77f07a73f3
CMD + SHIFT + .

## gist:66d8b0080710b36312a1d23fb95436e9
Why does Seaborn keep drawing non-existing range value on the x-axis?
https://stackoverflow.com/questions/45264089/why-does-seaborn-keep-drawing-non-existing-range-value-on-the-x-axis
There is problem range column is categorical, so categories are not removed by design like in another operations.
You need Series.cat.remove_unused_categories:

## basic_import.py
import os, sys, datetime, re, math
import pandas as pd
import seaborn as sns
import numpy as np
import matplotlib.pyplot as plt
	import requests
	from bs4 import BeautifulSoup

	website = 'https://www.somewebsite.com'

	r= requests.get(website)
	soup = BeautifulSoup(r.text)

	for a in soup.find_all('a', href=True):
	print(a['href'])
	Why does Seaborn keep drawing non-existing range value on the x-axis?
	https://stackoverflow.com/questions/45264089/why-does-seaborn-keep-drawing-non-existing-range-value-on-the-x-axis
	There is problem range column is categorical, so categories are not removed by design like in another operations.
	You need Series.cat.remove_unused_categories:
	import os, sys, datetime, re, math
	import pandas as pd
	import seaborn as sns
	import numpy as np
	import matplotlib.pyplot as plt