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# As of writing this, 4.11 kernel fails, 4.10.15 fails, 4.11rc8 seems to be working. Apply the graphics patches first. | |
# Install Intel Graphics Patch Firmwares (This should reboot your system): | |
bash -c "$(curl -fsSL http://bit.ly/IGFWL-install)" | |
# Update to 4.11.2 kernel. nvidia-375 compiles fine >=4.11.1 | |
cd /tmp | |
wget http://kernel.ubuntu.com/~kernel-ppa/mainline/v4.11.2/linux-headers-4.11.2-041102_4.11.2-041102.201705201036_all.deb | |
wget http://kernel.ubuntu.com/~kernel-ppa/mainline/v4.11.2/linux-headers-4.11.2-041102-generic_4.11.2-041102.201705201036_amd64.deb | |
wget http://kernel.ubuntu.com/~kernel-ppa/mainline/v4.11.2/linux-image-4.11.2-041102-generic_4.11.2-041102.201705201036_amd64.deb |
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# As of writing this, 4.11 kernel fails, 4.10.15 fails, 4.11rc8 seems to be working. Apply the graphics patches first. | |
# Install Intel Graphics Patch Firmwares (This should reboot your system): | |
bash -c "$(curl -fsSL http://bit.ly/IGFWL-install)" | |
# Update to 4.11.2 kernel. nvidia-375 compiles fine >=4.11.1 | |
cd /tmp | |
wget http://kernel.ubuntu.com/~kernel-ppa/mainline/v4.11.2/linux-headers-4.11.2-041102_4.11.2-041102.201705201036_all.deb | |
wget http://kernel.ubuntu.com/~kernel-ppa/mainline/v4.11.2/linux-headers-4.11.2-041102-generic_4.11.2-041102.201705201036_amd64.deb | |
wget http://kernel.ubuntu.com/~kernel-ppa/mainline/v4.11.2/linux-image-4.11.2-041102-generic_4.11.2-041102.201705201036_amd64.deb |
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# Note – this is not a bash script (some of the steps require reboot) | |
# I named it .sh just so Github does correct syntax highlighting. | |
# | |
# This is also available as an AMI in us-east-1 (virginia): ami-cf5028a5 | |
# | |
# The CUDA part is mostly based on this excellent blog post: | |
# http://tleyden.github.io/blog/2014/10/25/cuda-6-dot-5-on-aws-gpu-instance-running-ubuntu-14-dot-04/ | |
# Install various packages | |
sudo apt-get update |
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#List unique values in a DataFrame column | |
pd.unique(df.column_name.ravel()) | |
#Convert Series datatype to numeric, getting rid of any non-numeric values | |
df['col'] = df['col'].astype(str).convert_objects(convert_numeric=True) | |
#Grab DataFrame rows where column has certain values | |
valuelist = ['value1', 'value2', 'value3'] | |
df = df[df.column.isin(value_list)] |
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#!/bin/sh -x | |
## REST API JIRA KEY check | |
#List of projects that do not require strict JIRA KEY commits | |
#list in space and case-insensitive | |
NON_STRICT="sports" | |
# Authentication credentials | |
username=root |
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#!/usr/bin/env python | |
# coding: utf-8 | |
from __future__ import unicode_literals, print_function | |
import sys, zipfile, shutil, os, fileinput | |
def inflate(filename): | |
print(filename) | |
zfile = zipfile.ZipFile(filename) | |
for f in zfile.namelist(): |
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import sys | |
import numpy | |
from nltk.cluster import KMeansClusterer, GAAClusterer, euclidean_distance | |
import nltk.corpus | |
from nltk import decorators | |
import nltk.stem | |
stemmer_func = nltk.stem.snowball.EnglishStemmer().stem | |
stopwords = set(nltk.corpus.stopwords.words('english')) |