| def capwords(text, sep=None): | |
| return (sep or ' ').join(word.capitalize() for word in text.split()) |
| def capwords(text, sep=None): | |
| return (sep or ' ').join(word.capitalize() for word in text.split()) |
| print(""" September 2017 | |
| Su Mo Tu We Th Fr Sa | |
| 1 2 | |
| 3 4 5 6 7 8 9 | |
| 10 11 12 13 14 15 16 | |
| 17 18 19 20 21 22 23 | |
| 24 25 26 27 28 29 30 | |
| """) |
| print('hello world') |
| arsetnaroesnt |
So just looking at your code a bit, I can’t run anything because I don’t have the data. An idea I had that might speed up the process:
Instead of your double for loop where you count the number of times each keyword apeears in the query, you could iterate over all the search queries and build a dictionary (or use counter module) to count the number of times each word appears in total.
# i.e.
| # -*- coding: utf-8 -*- | |
| """ | |
| >>> process([[1, 2, 4], [5, 1, 4], [1, 2, 3]], (0,2), 4) | |
| [[-1, -1, -1], [5, -1, -1], [-1, -1, -1]] | |
| >>> process([[1, 3, 2], [1, 1, 4], [0, 4, 3]],(0,2), 3) | |
| [[-1, -1, -1], [-1, -1, 4], [-1, 4, 3]] | |
| >>> process([[1, 3, 2], [1, 1, 4], [0, 4, 3]],(0,0), 2) |
| avendesora•~» pip install GetLucky [14:52:49] | |
| Downloading/unpacking GetLucky | |
| Downloading GetLucky-1.2.7.tar.gz (44kB): 44kB downloaded | |
| Running setup.py egg_info for package GetLucky | |
| Downloading/unpacking requests>=2.2.1 (from GetLucky) | |
| Downloading requests-2.4.3.tar.gz (438kB): 438kB downloaded | |
| Running setup.py egg_info for package requests | |
| Downloading/unpacking beautifulsoup4>=4.3.2 (from GetLucky) |
| http://pcottle.github.io/learnGitBranching/ | |
| http://rogerdudler.github.io/git-guide/ | |
| http://think-like-a-git.net/ | |
| http://gitimmersion.com/ | |
| http://gitref.org/ | |
| http://git-scm.com/documentation |
| { | |
| "metadata": { | |
| "name": "notebook play" | |
| }, | |
| "nbformat": 3, | |
| "nbformat_minor": 0, | |
| "worksheets": [ | |
| { | |
| "cells": [ | |
| { |