OrangeTaikiri rafche
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| def binarySearch(data_list, low, len, x): | |
| ''' | |
| binary Search | |
| :param data_list: inputdata : list | |
| :param low: lowest element of list typical 0 | |
| :param len: len of array (n - 1) | |
| :param x: searched value | |
| :return: index of searched element | |
| ''' | |
| while low <= len: |
rafche
/ wmic_cmds.txt
Last active
August 13, 2018 14:06
— forked from xorrior/wmic_cmds.txt
Useful Wmic queries for host and domain enumeration
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| Host Enumeration: | |
| --- OS Specifics --- | |
| wmic os LIST Full (* To obtain the OS Name, use the "caption" property) | |
| wmic computersystem LIST full | |
| --- Anti-Virus --- | |
| wmic /namespace:\\root\securitycenter2 path antivirusproduct |
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| import pandas as pd | |
| if __name__ == '__main__': | |
| dat = [2, 4, 4, 9, 12] | |
| df = pd.DataFrame(dat) | |
| print(df) | |
| dat_2dim = [['Hot Dog', 3],['Hamburger', 2.5],['Cheeseburger',2],['Cola', 2]] |
rafche
/ median_mean_pandas.py
Created
August 6, 2017 19:25
feel the NaN Handling of pandas dataframe
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| import numpy as np | |
| import pandas as pd | |
| nan = np.nan | |
| median_1 = np.median([1,2,3]) | |
| median_2 = np.median([0,1,2,3]) | |
| median_3 = np.median([0,0,1,2,3]) | |
| median_4 = np.median([0,0,0,1,2,3]) |
rafche
/ flat_the_list.py
Created
May 16, 2017 07:48
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| # flat a list of lists, which contains multiple stacked lists | |
| # | |
| # expected input: | |
| # [a, b, c, [1, 2, 3, [9, 3, 5,6 ]], e, ] | |
| # | |
| # output should look like: | |
| # [a, b, c, 1, 2, 3, 9, 3, 5, 6, e] | |
| def flat_listoflists(input_list, final_list=None): |
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| def write_file(path): | |
| ''' | |
| :param path: Path for file | |
| :return: nothing | |
| ''' | |
| file = open(path+'temp21.log', 'w') | |
| file.write('success') | |
| file.close() |