Darshan D. Prabhu Darshan0902

## replacing_seaborn_distplot.ipynb

      
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                Darshan0902
                / replacing_seaborn_distplot.ipynb
            
            
              Created
              May 12, 2023 18:39
                — forked from mwaskom/replacing_seaborn_distplot.ipynb
            
              
                A guide to replacing the deprecated `seaborn.distplot` function.
              
          
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## webscraping.py
import bs4 as bs
import requests

html = requests.get("https://en.wikipedia.org/wiki/List_of_S%26P_500_companies")
soup = bs.BeautifulSoup(html.text,'html.parser')

tickers = []

# Using the "find" generally returns all the table so as result I ensured that we include the only needed "table" instead of
# the whole page .

## airbnb-analysis-for-texas.ipynb

      
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                Darshan0902
                / airbnb-analysis-for-texas.ipynb
            
            
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              January 28, 2024 19:42
            
              
                AirBNB Analysis for TEXAS .ipynb
              
          
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## Source_Calculator.py
from tkinter import*

me=Tk()
me.geometry("354x460")
me.title("CALCULATOR")
melabel = Label(me,text="CALCULATOR",bg='White',font=("Times",30,'bold'))
melabel.pack(side=TOP)
me.config(background='Dark gray')

textin=StringVar()

## Financial webscraper API.py
import requests
import matplotlib.pyplot as plt
import seaborn as sns

api_key ="dedwiejkdpdweod" #Get yours at https://site.financialmodelingprep.com/developer/docs/
company = "GOOG"  # make sure you use the ticker symbol.

years = 5  #define the years
balance_sheet = requests.get(f'https://financialmodelingprep.com/api/v3/balance-sheet-statement/{company}?periods=quarterly&limit={years}&apikey={api_key}')

## Darshan_imrpoved_casscader_model.xml
<?xml version="1.0"?>
<opencv_storage>
<cascade>
  <stageType>BOOST</stageType>
  <featureType>HAAR</featureType>
  <height>20</height>
  <width>60</width>
  <stageParams>
    <boostType>GAB</boostType>
    <minHitRate>9.9500000476837158e-001</minHitRate>
	import bs4 as bs
	import requests

	html = requests.get("https://en.wikipedia.org/wiki/List_of_S%26P_500_companies")
	soup = bs.BeautifulSoup(html.text,'html.parser')

	tickers = []

	# Using the "find" generally returns all the table so as result I ensured that we include the only needed "table" instead of
	# the whole page .
	from tkinter import*

	me=Tk()
	me.geometry("354x460")
	me.title("CALCULATOR")
	melabel = Label(me,text="CALCULATOR",bg='White',font=("Times",30,'bold'))
	melabel.pack(side=TOP)
	me.config(background='Dark gray')

	textin=StringVar()
	import requests
	import matplotlib.pyplot as plt
	import seaborn as sns

	api_key ="dedwiejkdpdweod" #Get yours at https://site.financialmodelingprep.com/developer/docs/
	company = "GOOG" # make sure you use the ticker symbol.

	years = 5 #define the years
	balance_sheet = requests.get(f'https://financialmodelingprep.com/api/v3/balance-sheet-statement/{company}?periods=quarterly&limit={years}&apikey={api_key}')
	<?xml version="1.0"?>
	<opencv_storage>
	<cascade>
	<stageType>BOOST</stageType>
	<featureType>HAAR</featureType>
	<height>20</height>
	<width>60</width>
	<stageParams>
	<boostType>GAB</boostType>
	<minHitRate>9.9500000476837158e-001</minHitRate>