How to use the pivot_table() function
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  Show us a simple example by using the pivot_table() function from the Pandas package. 

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langchain's usages
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 The standard deviation of returns can be used to measure the total risk. 
   Show me a Python program to download IBM daily data and calculate annual
   risk using the daily returns' standard deviation

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Videos
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   Calculating stock beta using Excel (4m28s)
        https://www.youtube.com/watch?v=zlClflcSrM8
 
   What is Beta? - MoneyWeek Investment Tutorials (5m29s)
        https://www.youtube.com/watch?v=etlv7qTQUSY

   Beta Calculation on Excel (9m48s)
        https://www.youtube.com/watch?v=7LiK-qbmPsw

   How to Calculate Beta with Excel, Calculation of Beta (18m43s)
       https://www.youtube.com/watch?v=LRyFn_T94IU

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Writing code: normality test
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 In finance, it is assumed that stock returns follow a normal distribution. 
    Write a function to test this hypothesis. You can start with the following code. 

import yfinance as yf
df=yf.download("ibm")

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git clone weblink
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  How to use Git Bash to download all the Python code from the following 
     GitHub web side?
 
  https://github.com/paulyxy/python-for-finance-2nd-edition-updated-Python-code
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Value at Risk 
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VaR stands for Value at Risk. Would you please give me a Python program to
 calculate the VaR based on the normality assumption. 
The time period is the next day and the number of shares if 1000 IBM's 
stock. Please use the last 5-year daily data. 

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Modify code #1 monthly mortgage payment
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Below is my function to calculate the monthly mortgage payment. 
Can you find a Python package with such a function to simplify my program?

def monthlyPpayment_f(loan_amount, annual_rate,loan_term_years):
    monthly_rate=annual_rate/12     # annual interest rate to monthly rate
    n_months = loan_term_years*12  # the number of months
    temp1=loan_amount*monthly_rate
    temp2=(1 + monthly_rate) ** n_months
    temp3=((1 + monthly_rate) ** n_months - 1)
    return temp1*temp2/temp3    # return the monthly payment
# Example usage:
house_price          = 200_000  # Total house price
downPaymentPercentage= 0.20     # 20% down payment
annual_rate          = 0.056    # 5.6% annual interest rate
loan_term_years      = 30       # 30-year loan term
loan_amount         = house_price *(1-downPaymentPercentage)
monthlyPayment=monthlyPpayment_f(loan_amount,annual_rate, loan_term_years)
print(f"Monthly Mortgage Payment: ${monthlyPayment:.2f}")
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