ivyleavedtoadflax

for i in raw/*.json; 
  do 

    # Create new filename

    filename=$(basename -- "$i")
    extension="${filename##*.}"
    filename="${filename%.*}"
    new_filename=processed/refs_${filename}.txt

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# Need to run:
# python -m spacy download en 
# from console first to get the model

import spacy
import pandas as pd


nlp = spacy.load("en")

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# If you come from bash you might have to change your $PATH.
# export PATH=$HOME/bin:/usr/local/bin:$PATH

# Add $HOME/bin to PATH for use with YouCompleteMe
# https://github.com/zchee/deoplete-jedi/wiki/Setting-up-Python-for-Neovim

export PATH=$PATH:$HOME/bin
export PATH=$PATH:$HOME/.local/bin

# Path to your oh-my-zsh installation.

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from spacy.util import (compile_prefix_regex, compile_infix_regex, compile_suffix_regex) 

def _custom_tokenizer(self, nlp, regex=[r"[-/,.\n\s]"]):
    """Custom tokenizer to split date formats like 05-05-2015
    and 05/05/2015
    """
    # Use the default prefixes and suffixes
    prefix_re = compile_prefix_regex(nlp.Defaults.prefixes)
    suffix_re = compile_suffix_regex(nlp.Defaults.suffixes)

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# coding: utf-8

# In[5]:


import boto3
import os

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#!/bin/bash
#
# Do a ping and output results as CSV.
#
# dsimmons@squiz.co.uk
# 2011-12-23
#

if [ $# -lt 1 ]; then
	echo "Usage: $0 [--add-timestamp] <ping host>"

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---
title: "Xtable examples"
subtitle: "From [this thread](http://stackoverflow.com/questions/32005471/simple-example-of-using-tables-knitr-for-latex)"
author: "Matthew Upson"
date: "15 August 2015"
output: pdf_document
---

```{r}
library("xtable")

ivyleavedtoadflax

Using pyenv with virtualenvwrapper

• pyenv is used to manage which version of python you are using
• virtualenv is used to manage python dependencies

They can interact nicely together if you do the following:

Install the required packages (this assumes that you have virtualenv and virtualenvwrapper installed).

Install pyenv and pyenv-virtualenvwrapper

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extract_GVA <- function(x) {
  df <- data.frame(col1 = x)
  if (!identical(1:5, df$col1)) stop("GVA data not 1 to 5")
  structure(
    df,
    class = c("GVA", "data.frame"))
}

GVA <- extract_GVA(1:4) #throws error if data incorrect
GVA <- extract_GVA(1:5) #creates dataframe with GVA class that appears in

ivyleavedtoadflax

Keybase proof

I hereby claim:

• I am ivyleavedtoadflax on github.
• I am mattupson (https://keybase.io/mattupson) on keybase.
• I have a public key ASCaaJ_dwu6Lb-DvQqk-EtxJv4TfHgD1ETYiE0XhpydneQo

To claim this, I am signing this object: