Jia-Ping Chu jumpingchu

## text_detection_with_image_gray_scale.py
import numpy as np
from PIL import Image
import pytesseract

# Open image
img = Image.open('path/to/image.png') # or .jpg

# Turn Image to "Gray scale" (灰階)
img = img.convert('L')

## config.ini
[MYSQL]
HOST = 127.0.0.1
USERNAME = mysql_root
PASSWORD = mysql_password
PORT = 3306
DATABASE = MYSQL_DATA

[MSSQL]
SERVER = test.database.windows.net
USERNAME = mssql_root

## 5. importLocalFile.html
<html>
    <head>
      <link rel="stylesheet" href="https://pyscript.net/alpha/pyscript.css" />
      <script defer src="https://pyscript.net/alpha/pyscript.js"></script>
      <py-env>
        - numpy
        - matplotlib
        - paths:
          - ./data.py
      </py-env>

## 4. librayPlot.html
<html>
    <head>
      <link rel="stylesheet" href="https://pyscript.net/alpha/pyscript.css" />
      <script defer src="https://pyscript.net/alpha/pyscript.js"></script>
      <py-env>
        - numpy
        - matplotlib
      </py-env>
    </head>

## 3. writeToTag.html
<html>
    <head>
      <link rel="stylesheet" href="https://pyscript.net/alpha/pyscript.css" />
      <script defer src="https://pyscript.net/alpha/pyscript.js"></script>
      <link href="https://cdn.jsdelivr.net/npm/bootstrap@5.1.3/dist/css/bootstrap.min.css" rel="stylesheet" crossorigin="anonymous">
    </head>

  <body>
    <b><p>Today is <u><label id='today'></label></u></p></b>
    <br>

## 2. math.html
<html>

<head>
    <link rel="stylesheet" href="https://pyscript.net/alpha/pyscript.css" />
    <script defer src="https://pyscript.net/alpha/pyscript.js"></script>
</head>

<body>
    <py-script>
print("Let's compute π:")

## 1. helloWorld.html
<html>
  <head>
    <link rel="stylesheet" href="https://pyscript.net/alpha/pyscript.css" />
    <script defer src="https://pyscript.net/alpha/pyscript.js"></script>
  </head>
  <body> <py-script> print('Hello, World!') </py-script> </body>
</html>

## enable_data_table.py
from google.colab import data_table

# 開啟功能
data_table.enable_dataframe_formatter()

# 關閉功能
data_table.disable_dataframe_formatter()

## fastapi_aws.py
from fastapi import FastAPI
from bson import json_util
import json
from pymongo import MongoClient
from typing import Optional
from mangum import Mangum

app = FastAPI()

mongo_connect = "<mongoDB_connection_URL>"

## fb_likes_unlikes.py
import pandas as pd
import openpyxl
import requests
import json
from datetime import datetime, timedelta
from settings import URL, FB, TOKEN, metric, since, until


def extract_data(df, type_names):
    dict_type_counts = {type_name: 0 for type_name in type_names}
	import numpy as np
	from PIL import Image
	import pytesseract

	# Open image
	img = Image.open('path/to/image.png') # or .jpg

	# Turn Image to "Gray scale" (灰階)
	img = img.convert('L')
	[MYSQL]
	HOST = 127.0.0.1
	USERNAME = mysql_root
	PASSWORD = mysql_password
	PORT = 3306
	DATABASE = MYSQL_DATA

	[MSSQL]
	SERVER = test.database.windows.net
	USERNAME = mssql_root
	<html>
	<head>
	<link rel="stylesheet" href="https://pyscript.net/alpha/pyscript.css" />
	<script defer src="https://pyscript.net/alpha/pyscript.js"></script>
	<py-env>
	- numpy
	- matplotlib
	- paths:
	- ./data.py
	</py-env>
	from google.colab import data_table

	# 開啟功能
	data_table.enable_dataframe_formatter()

	# 關閉功能
	data_table.disable_dataframe_formatter()
	from fastapi import FastAPI
	from bson import json_util
	import json
	from pymongo import MongoClient
	from typing import Optional
	from mangum import Mangum

	app = FastAPI()

	mongo_connect = "<mongoDB_connection_URL>"
	import pandas as pd
	import openpyxl
	import requests
	import json
	from datetime import datetime, timedelta
	from settings import URL, FB, TOKEN, metric, since, until


	def extract_data(df, type_names):
	dict_type_counts = {type_name: 0 for type_name in type_names}