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function doGet() { | |
// Fetch XML | |
var response = UrlFetchApp.fetch("http://wordcentral.com/buzzword/rss.xml").getContentText(); | |
// Parse XML | |
var parsedResponse = Xml.parse(response, false); | |
var word = parsedResponse.getElement().getElement('channel').getElement('item').getElement('title').getText(); | |
var desc = parsedResponse.getElement().getElement('channel').getElement('item').getElement('description').getText(); | |
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//Parses Wordsmith XML Feed | |
function doGet(){ | |
// Fetch XML | |
var response = UrlFetchApp.fetch("http://wordsmith.org/awad/rss1.xml").getContentText(); | |
// Parse XML | |
var parsedResponse = Xml.parse(response, false); | |
var word = parsedResponse.getElement().getElement('channel').getElement('item').getElement('title').getText(); |
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ID Tên Mục đích Chức năng Vị trí Quy mô (người) Sự tham gia Tỉnh Link tham khảo | |
1 Khu nhà ở sinh viên Pháp Vân - Tứ Hiệp Trưng dụng cách ly tập trung Khu nhà ở sinh viên "Khu nhà ở sinh viên Pháp Vân - Tứ Hiệp (quận Hoàng Mai, Hà Nội)" 4000 "Quân đội, Công an, Bảo vệ tổ dân phố, Dân quân tự vệ" Hà Nội https://vnreview.vn/tin-tuc-xa-hoi-so/-/view_content/content/3097388/ha-noi-co-bao-nhieu-khu-cach-ly-tap-trung-phong-chong-dich-covid-19 | |
2 Cao đẳng nghề Công nghệ cao Hà Nội Trưng dụng cách ly tập trung Ký túc xá sinh viên "Cao đẳng nghề công nghệ cao Hà Nội phường Tây Mỗ, quận Nam Từ Liêm. Thành phố Hà Nội" 800 "Quân đội, Công an, Bảo vệ tổ dân phố, Dân quân tự vệ" Hà Nội https://vnreview.vn/tin-tuc-xa-hoi-so/-/view_content/content/3097388/ha-noi-co-bao-nhieu-khu-cach-ly-tap-trung-phong-chong-dich-covid-19 | |
3 Khu nhà ở sinh viên Mỹ Đình 2 Trưng dụng cách ly tập trung Khu nhà ở sinh viên "Khu nhà ở sinh viên tại phường Mỹ Đình II, quận Nam Từ Liêm (Hà N |
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ISO3166-2 | Province | Date | Incidents | |
---|---|---|---|---|
VN-89 | An Giang | 2020/01/22 | 0 | |
VN-43 | Ba Ria - Vung Tau | 2020/01/22 | 3 | |
VN-54 | Bac Giang | 2020/01/22 | 0 | |
VN-53 | Bac Kan | 2020/01/22 | 0 | |
VN-55 | Bac Lieu | 2020/01/22 | 0 | |
VN-56 | Bac Ninh | 2020/01/22 | 3 | |
VN-50 | Ben Tre | 2020/01/22 | 0 | |
VN-31 | Binh Dinh | 2020/01/22 | 0 | |
VN-57 | Binh Duong | 2020/01/22 | 3 |
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import React from 'react'; | |
import CurrencyInput from 'react-currency-input-field'; | |
import { FormFieldWrapper } from '@plone/volto/components'; | |
const CurrencyWidget = (props) => { | |
const { id, value, isDisabled, onClick, onChange, maximum, minimum } = props; | |
return ( | |
<FormFieldWrapper {...props}> | |
<CurrencyInput |
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#!/usr/bin/env python | |
# coding: utf-8 | |
# Example python code to extract Named-entity recognition (NER) | |
# from a PDF document. | |
# | |
# The script uses spacy and spacypdfreader | |
# Install a pip packages require for | |
#import sys |
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# example and data from: | |
# https://ipyleaflet.readthedocs.io/en/latest/layers/geo_json.html | |
# https://ipyleaflet.readthedocs.io/en/latest/layers/marker.html | |
import json | |
import pathlib | |
import random | |
from shiny import reactive | |
from shiny.express import ui, render, input | |
from shinywidgets import render_widget |