shubhamagarwal92

# Shubham Agarwal, April 2017
# This script converts string (sequence of characters) to a sequence of integer values of the 
# unicode characters 
# 
# To run this script provide data and output file path. Also provide fileEncoding 
# Run as:
# python convertTextToSequency.py --readFilePath='path/to/text/' --writeFilePath='path/to/output'
# Default to 'utf-8' encoding
# Or use --fileEncoding='utf-8' 
import os 

shubhamagarwal92

#! /usr/bin/env python

# based on https://github.com/google/seq2seq/blob/master/bin/tools/generate_beam_viz.py


import numpy as np
import networkx as nx
import pickle
import argparse
import os

shubhamagarwal92

commit 536bb852a72b1ac17dbf27a7c02b8e8ba8831439
Author: shubhamagarwal92 <shubhamagarwal92@gmail.com>
Date:   Thu Aug 17 09:30:26 2017 -0500

    Correcting file path related to input id

commit 19672507fa068276ea76d6cca7a07e6a78ddfac7
Merge: 02f7a03 f062e43
Author: shubhamagarwal92 <shubhamagarwal92@gmail.com>
Date:   Thu Aug 17 09:28:31 2017 -0500

shubhamagarwal92

__author__='shubhamagarwal92'

"""
This script allows to convert excel line (space separated line) 
to latex table line format

Usage:

Input:

shubhamagarwal92

from wordcloud import WordCloud, STOPWORDS
from PIL import Image
import urllib
import requests
import numpy as np
import matplotlib.pyplot as plt

words = 'access guest guest apartment area area bathroom bed bed bed bed bed bedroom block coffee coffee coffee coffee entrance entry francisco free garden guest home house kettle kettle kitchen kitchen kitchen kitchen kitchen kitchenliving located microwave neighborhood new park parking place privacy private queen room san separate seperate shared space space space street suite time welcome'
mask = np.array(Image.open(requests.get('http://www.clker.com/cliparts/O/i/x/Y/q/P/yellow-house-hi.png', stream=True).raw))

shubhamagarwal92

\documentclass[letter]{article}
\pdfoutput=1
\usepackage{hyperref}
\hypersetup{
  pdfinfo={
    Title={title},
    Author={author},
  }
}
\usepackage{pdfpages}

shubhamagarwal92

# Sometimes we want to convert jupyter notebook to markdown or 
# html when we want to write a blog/README 
# Jupyter Notebook Conversion (nbconvert) comes to the rescue
# conda install jupyter will automatically install it
# Run as ./jupyter_converter.sh <filename>
# jupyter nbconvert --to html $1
jupyter nbconvert --to markdown $1

shubhamagarwal92

# Run as 
# json_beautify.sh bad_json.json beautify.json

# https://stackoverflow.com/questions/352098/how-can-i-pretty-print-json-in-a-shell-script
python -m json.tool $1 > $2
# if the JSON is from an internet source such as an API, you can use
# curl http://my_url/ | python -m json.tool

# For further processing json in python, a good source
# https://www.dataquest.io/blog/python-json-tutorial/

shubhamagarwal92

# This example shows for the current date. Modify it to get the day for 
# any particular date of the format 
# date(year, month, day)

from datetime import date
import calendar

def sample_date2day():
    my_date = date.today()
#     my_date = date(year, month, day)

shubhamagarwal92

# https://milindpadalkar.wordpress.com/2016/03/04/installing-torch-without-root-privileges/
# Install conda and create an environment 'torch-env'
source activate torch-env
conda install lua=5.2 lua-science -c alexbw