python how to add columns to a pandas dataframe

#using the insert function:
df.insert(location, column_name, list_of_values) 

#using array-like access:
df['new_column_name'] = value

#df stands for dataframe

# Basic syntax:
pandas_dataframe['new_column_name'] = ['list', 'of', 'column', 'values']

# Note, the list of column values must have length equal to the number
# 	of rows in the pandas dataframe you are adding it to.

# Add column in which all rows will be value:
pandas_dataframe['new_column_name'] = value
# Where value can be a string, an int, a float, and etc 

# Import pandas package  
import pandas as pd 
  
# Define a dictionary containing Students data 
data = {'Name': ['Jai', 'Princi', 'Gaurav', 'Anuj'], 
        'Height': [5.1, 6.2, 5.1, 5.2], 
        'Qualification': ['Msc', 'MA', 'Msc', 'Msc']} 
  
# Convert the dictionary into DataFrame 
df = pd.DataFrame(data) 
  
# Declare a list that is to be converted into a column 
address = ['Delhi', 'Bangalore', 'Chennai', 'Patna'] 
  
# Using 'Address' as the column name 
# and equating it to the list 
df['Address'] = address 
  
# Observe the result 
df