| import numpy as np | |
| from sklearn import linear_model | |
| import pandas as pd | |
| import requests | |
| from sklearn.feature_extraction import DictVectorizer | |
| team_id_list = ['1610612737','1610612738','1610612751','1610612766','1610612741','1610612739','1610612742','1610612743','1610612765','1610612744','1610612745','1610612754','1610612746','1610612747','1610612763','1610612748','1610612749','1610612750','1610612740','1610612752','1610612760','1610612753','1610612755','1610612756','1610612757','1610612758','1610612759','1610612761','1610612762','1610612764'] | |
| headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/61.0.3163.100 Safari/537.36'} |
| import threading | |
| ''' | |
| A generic iterator and generator that takes any iterator and wrap it to make it thread safe. | |
| This method was introducted by Anand Chitipothu in http://anandology.com/blog/using-iterators-and-generators/ | |
| but was not compatible with python 3. This modified version is now compatible and works both in python 2.8 and 3.0 | |
| ''' | |
| class threadsafe_iter: | |
| """Takes an iterator/generator and makes it thread-safe by | |
| serializing call to the `next` method of given iterator/generator. | |
| """ |
Similar to mpipe, this short module lets you string together tasks so that they are executed in parallel.
The difference is that it lets you use generators, functions which yield results instead of returning them. Each yielded item gets passed to the next stage.
You can specify that one or more copies of the workers operate on the input queue.
sudo apt-get install python-pip or wget https://bootstrap.pypa.io/get-pip.py && sudo python get-pip.pysudo pip install powerline-statusgit clone https://github.com/powerline/fonts.git && cd fonts && sh ./install.shset rtp+=/usr/local/lib/python2.7/dist-packages/powerline/bindings/vim/
> " Always show statusline