Darshan0902

<?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>

Darshan0902

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}')

Darshan0902

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()

Darshan0902

Darshan0902

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 .

Darshan0902