Sen Zhang lightondust

## cirq-tuto.ipynb

      
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                lightondust
                / cirq-tuto.ipynb
            
            
              Created
              December 9, 2018 06:19
            
              
                play_network/src/quantum_computing/cirq-tuto.ipynb
              
          
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## d-wave-nlp-article.ipynb

      
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                lightondust
                / d-wave-nlp-article.ipynb
            
            
              Created
              December 24, 2018 06:56
            
              
                quantum_computing/dwave/d-wave-nlp-article.ipynb
              
          
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## coordinate from address
import requests
import lxml

def get_coordinate_of_address(address):
    url = 'http://geocode.csis.u-tokyo.ac.jp/cgi-bin/simple_geocode.cgi?charset=UTF8&addr={}'.format(address)
    res = requests.get(url)
    res_obj = lxml.etree.fromstring(bytes(res.text, encoding='utf8'))

    lng = res_obj.xpath('//longitude/text()')[0]
    lat = res_obj.xpath('//latitude/text()')[0]

## streamlit_slider_bar_and_animation.py
import streamlit as st
import numpy as np

# Interactive Streamlit elements, like these sliders, return their value.
# This gives you an extremely simple interaction model.
iterations = st.sidebar.slider("Level of detail", 2, 20, 10, 1)
separation = st.sidebar.slider("Separation", 0.7, 2.0, 0.7885)

m, n, s = 960, 640, 400
x = np.linspace(-m / s, m / s, num=m).reshape((1, m))

## streamlit_map_animation.py
import streamlit as st
import pandas as pd
import numpy as np
import altair as alt
import pydeck as pdk
import time


# LOADING DATA
DATE_TIME = "date/time"
	import requests
	import lxml

	def get_coordinate_of_address(address):
	url = 'http://geocode.csis.u-tokyo.ac.jp/cgi-bin/simple_geocode.cgi?charset=UTF8&addr={}'.format(address)
	res = requests.get(url)
	res_obj = lxml.etree.fromstring(bytes(res.text, encoding='utf8'))

	lng = res_obj.xpath('//longitude/text()')[0]
	lat = res_obj.xpath('//latitude/text()')[0]
	import streamlit as st
	import numpy as np

	# Interactive Streamlit elements, like these sliders, return their value.
	# This gives you an extremely simple interaction model.
	iterations = st.sidebar.slider("Level of detail", 2, 20, 10, 1)
	separation = st.sidebar.slider("Separation", 0.7, 2.0, 0.7885)

	m, n, s = 960, 640, 400
	x = np.linspace(-m / s, m / s, num=m).reshape((1, m))
	import streamlit as st
	import pandas as pd
	import numpy as np
	import altair as alt
	import pydeck as pdk
	import time


	# LOADING DATA
	DATE_TIME = "date/time"