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| command to insert: | |
| r = Rating.create :user_id => 1, :product_id => 1, :description => 'I dont like this shirt', :rating => 2 | |
| To run migration: | |
| bin/rake db:migrate | |
| To create anew migration for adding in reference columns : | |
| bin/rails generate migration AddUserAndProductToRatings user:references product:references | |
| Create a new model/migration |
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| db.tweets.updateMany({ {"likes" : null},{$set: {"likes": []}} }) |
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| db.tweets.findAndModify({query: {"likes" : null},update:{$set: {"likes": []}},new: true, upsert: true }) |
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| import pandas as pd | |
| import os | |
| import datetime | |
| import numpy as np | |
| #This will be the directory with all the sheets to combine. | |
| questdir = 'C:\Users\chouw\Desktop\Load3' | |
| #chunk of code to verify file count matches. | |
| files = [] |
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| from PIL import Image | |
| from resizeimage import resizeimage | |
| import os | |
| dir = 'C:\Users\chouw\Documents\pictures' | |
| for dirname,subdirlist,flist in os.walk(dir): | |
| for fname in flist: | |
| if fname.lower().endswith('.jpg'): | |
| if os.stat(dir+"\\"+fname).st_size > 3000: | |
| print "resize {}".format(fname), | |
| with open(dir+"\\"+fname, 'r+b') as f: |
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| import os | |
| import csv | |
| import datetime | |
| import timeit | |
| import pandas as pd | |
| import pickle | |
| flcount = 0 | |
| addcount = 0 | |
| lastadded = 0 |
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| var wrapLog = function (callback, name) { | |
| //var args = callback.apply(null,arguments); | |
| //console.log(arguments); | |
| //console.log(args); | |
| //console.log(arguments[0]); | |
| //console.log(arguments); | |
| return function() { | |
| //console.log(arguments); | |
| //console.log(callback.apply(null,arguments)); | |
| //var arg2 = 1, arg1 = 2; |
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