<jupyter_start><jupyter_text>Combining Excel and Python  Descriptionxlwings CE is a BSD-licensed Python library that makes it easy to call Python from Excel and vice versa:- Scripting: Automate/interact with Excel from Python using a syntax close to VBA.- Macros: Replace VBA macros with clean and powerful Python code.- UDFs: Write User Defined Functions (UDFs) in Python (Windows only).- REST API: Expose your Excel workbooks via REST API. We will be using “xlwings.xlsx”. Level 1- Use xlwings to read the values in the column A and then write them beside the initial values in column B Level 2- Get the value in C9 and multiply it by 2.5 in Python Level 3- Read the table which starts in E4 into Python. Multiply the prices by 2.5, and then output back into Excel starting in cell H5.- Ensure that the outputted table appears in the same format as the original (pay attention to index and header) Level 4- In column L, write 5, 10, 15 … 100 spaced two cells apart, so L1 would have 5, L4 would have 10, and so on.  Required ImportsWe just need the `xlwings` package for this, and the convention is to import as `xw`. Let's also go ahead and import `pandas` as well, because `xlwings` has an integration with `pandas`.<jupyter_code>import xlwings as xw
import pandas as pd
# Connect to workbook
book = xw.Book('xlwings.xlsx')

# Connect to sheet
sht = book.sheets['Sheet1']<jupyter_output><empty_output><jupyter_text>Level 1<jupyter_code># Getting the values in column A
a_col_values = sht.range('A1:A5').value
a_col_values
# Adding the values to column B
sht.range('B1').value = [[i] for i in a_col_values]<jupyter_output><empty_output><jupyter_text>Level 2<jupyter_code># Getting the value
sht.range('C9').value
# Multiplying it by 2.5
sht.range('C9').value * 2.5<jupyter_output><empty_output><jupyter_text>Level 3<jupyter_code># Read the table from E4
df = sht.range('E4').expand().options(pd.DataFrame, index=False).value
df
# Mutiply price by 2.5
df['Price'] = df['Price'] * 2.5
df
# Add it back to excel in cell H4
sht.range('H5').options(pd.DataFrame, index=False).value = df<jupyter_output><empty_output><jupyter_text>Level 4<jupyter_code>row = 1
for i in range(5, 105, 5):
    cell_ref = f'L{row}'
    sht.range(cell_ref).value = i
    row += 3<jupyter_output><empty_output>
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