How To Assign Different Column Values To Different Variables In Python

I am trying to assign all the three unique groups from the group column in df to different variables (see my code) using Python. How do I incorporate this inside a for loop? Obviously var + i does not work.

import pandas as pd

data = {
    'group': ['a', 'a', 'a', 'b', 'b', 'c', 'c'], 
    'num': list(range(7))
    }  
df = pd.DataFrame(data)  

unique_groups = df['group'].unique()

# How do I incorporate this logic inside a for loop??
var1 = df[df['group'] == unique_groups[0]]
var2 = df[df['group'] == unique_groups[1]]
var3 = df[df['group'] == unique_groups[2]]

# My approach:
for i in range(len(unique_groups)):
    var + i = df[df['group'] == unique_groups[i]] # obviously "var + i" does not work

Answer

From your comment it seems it is okay for all_vars to be a list so that all_vars[0] is the first group, all_vars[1] the second, etc. In that case, consider using groupby instead:

all_vars = [group for name, group in df.groupby("group")]