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## python_web_dev_flask_environment_setup.md

      
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                dineshviswanath
                / python_web_dev_flask_environment_setup.md
            
            
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              July 19, 2024 19:55
            
              
                How to install python and Flask on Mac OS X
              
          
    #Starting Python Web development in Mac OS X#
Objective: Getting started with Python Development
Operating System: Mac OS X
Python version installed: 3.5 (5th December 2015)
Downoad the lastest Python from https://www.python.org/downloads/

  
## UICollection and NSFetchedResultsControllerDelegate integration.swift
var fetchedResultsProcessingOperations: [NSBlockOperation] = []

private func addFetchedResultsProcessingBlock(processingBlock:(Void)->Void) {
	fetchedResultsProcessingOperations.append(NSBlockOperation(block: processingBlock))
}

func controller(controller: NSFetchedResultsController, didChangeObject anObject: AnyObject, atIndexPath indexPath: NSIndexPath?, forChangeType type: NSFetchedResultsChangeType, newIndexPath: NSIndexPath?) {

	switch type {
	case .Insert:

## preprocess.py
import string
import nltk
from nltk.tokenize import RegexpTokenizer
from nltk.corpus import stopwords
import re

def preprocess(sentence):
	sentence = sentence.lower()
	tokenizer = RegexpTokenizer(r'\w+')
	tokens = tokenizer.tokenize(sentence)
	var fetchedResultsProcessingOperations: [NSBlockOperation] = []

	private func addFetchedResultsProcessingBlock(processingBlock:(Void)->Void) {
	fetchedResultsProcessingOperations.append(NSBlockOperation(block: processingBlock))
	}

	func controller(controller: NSFetchedResultsController, didChangeObject anObject: AnyObject, atIndexPath indexPath: NSIndexPath?, forChangeType type: NSFetchedResultsChangeType, newIndexPath: NSIndexPath?) {

	switch type {
	case .Insert:
	import string
	import nltk
	from nltk.tokenize import RegexpTokenizer
	from nltk.corpus import stopwords
	import re

	def preprocess(sentence):
	sentence = sentence.lower()
	tokenizer = RegexpTokenizer(r'\w+')
	tokens = tokenizer.tokenize(sentence)