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import json

data = {}
data['key'] = 'value'
json_data = json.dumps(data)

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import json
ds = json.loads(json_data_string) #this contains the json
unique_stuff = { each['obj_id'] : each for each in ds }.values()


#Retain only the first occcurance

all_ids = [ each['obj_id'] for each in ds ] # get 'ds' from above snippet
unique_stuff = [ ds[ all_ids.index(id) ] for id in set(ids) ]

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import sys
# print sys.argv[0] prints test.py
# print sys.argv[1] prints your_var_1

def hello():
    print "Hi" + " " + sys.argv[1]

if __name__ == "__main__":
    hello()
    

codeslord

Do I have a web server running?

---

having a web server turned on doesn't necessarily mean you are serving pages on the world wide web. its what allows you to load your own static files (.html, .js etc.) in a browser via http://.

if you're not sure whether or not you have a web server running, no problem! its easy to confirm.

what happens when you visit http://localhost/?

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# List unique values in a DataFrame column
# h/t @makmanalp for the updated syntax!
df['Column Name'].unique()

# Convert Series datatype to numeric (will error if column has non-numeric values)
# h/t @makmanalp
pd.to_numeric(df['Column Name'])

# Convert Series datatype to numeric, changing non-numeric values to NaN
# h/t @makmanalp for the updated syntax!

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dir/o/s | findstr/r " Directory | bytes" >> folder_list.txt

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#http://cx-freeze.readthedocs.io/en/latest/distutils.html
import cx_Freeze
import sys
import pandas 
import datetime
import gc
import numpy

import os.path

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from distutils.core import setup
 import py2exe

 from distutils.filelist import findall
 import matplotlib

 setup(
       console=['PlotMemInfo.py'],

       options={

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import pandas as pd
import glob, os
#Specifying directory
os.chdir(r"\rohith\cog-qa-reports")
#Initilizing dataframe
df = pd.DataFrame()
#Loading all html files from results
for file in glob.glob("*\Results\*.html"):
    # print(file)
    try:

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matrixsize = 10
R = np.matrix(np.ones(shape=(matrixsize, matrixsize)))
R *= -1