e96031413

'''
original from https://clay-atlas.com/blog/2019/08/16/python-screening-tutorial/
'''

from PIL import ImageGrab
import numpy as np
import cv2

image = ImageGrab.grab()
width, height = image.size

e96031413

'''
Simple Cython Usage
'''

''' Step0:Install Cython '''
sudo pip3 install cython
''' Step0:Install Cython '''

''' Step1:Create "a.py" '''
import sys

e96031413

from django.shortcuts import render
from django.http import HttpResponse
from django.views.decorators import csrf

from selenium import webdriver
from selenium.webdriver.chrome.options import Options

def main(request):
	return render(request,'index.html')

e96031413

#初始化
$ heroku login #登入heroku
$ git init     #設定git
$ heroku git:remote -a your-app-name #填入在Heroku中設定好的名字
$ heroku config:set DISABLE_COLLECTSTATIC=1

#Push到Heroku
$ git add .
$ git commit -am "make it better"
$ git push heroku master

e96031413

with open ('fileName') as f:       #開啟檔案，並且在操作結束後自動關閉
    f.write()                      #寫入字串
    f.writelines()                 #寫入list
    f.read()                       #讀入檔案
    f.readline()                   #逐行讀取(只讀第一行，第二行要再執行一次)
    f.readlines()                  #讀取全部而逐行處理(一次讀完)

e96031413

sudo apt-get update
sudo apt-get install -y unzip openjdk-8-jre-headless xvfb libxi6 libgconf-2-4

# Install Chrome.
sudo curl -sS -o - https://dl-ssl.google.com/linux/linux_signing_key.pub | apt-key add
sudo echo "deb http://dl.google.com/linux/chrome/deb/ stable main" >> /etc/apt/sources.list.d/google-chrome.list
sudo apt-get -y update
sudo apt-get -y install google-chrome-stable

# Install ChromeDriver.

e96031413

import glob
import os
import numpy as np
import sys

current_dir = "./data/dataset/images"
split_pct = 10;
file_train = open("data/dataset/train.txt", "w")  
file_val = open("data/dataset/val.txt", "w")  
counter = 1  

e96031413

#pip install geocoder

import geocoder
g = geocoder.ip('me')
g.latlng
#Out[1]: [22.0063, 120.3933]
g.address
#Out[2]: 'Kaohsiung, Takao, TW'

g.geojson

e96031413

# 程式碼來自：https://tlyu0419.github.io/2019/04/18/Crawl-JobList104/
# 程式碼最後匯出成Excel的函式需要xlrd套件(pip install xlrd)

import pandas as pd
import re, time, requests
from selenium import webdriver
from bs4 import BeautifulSoup

# 加入使用者資訊(如使用什麼瀏覽器、作業系統...等資訊)模擬真實瀏覽網頁的情況
headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/73.0.3683.103 Safari/537.36'}

e96031413

# 程式碼來自：https://tlyu0419.github.io/2019/05/01/Crawl-Facebook/
# 程式碼最後匯出成Excel的函式需要xlrd套件(pip install xlrd)

import pandas as pd
import re, time, requests
from selenium import webdriver
from bs4 import BeautifulSoup

def FindLinks(url, n):
    Links = []