'Creating a 2D list of recursive patterns without slicing or list()

I need to write a function or a for-loop that receives or loop through a list of strings and returns this pattern:

[['alpha'], ['alpha', 'beta'], ['alpha', 'beta', 'gamma'], ['alpha', 'beta', 'gamma', 'delta']]

I'm not allowed to use list slicing or list(). The main purpose is to explore all the solutions with and without copy. Here is what I have tried but with list():

input = [['alpha',[]], ['beta',[]], ['gamma',[]], ['delta',[]]]
df = pd.DataFrame(input, columns=['Sequence','DNA'])
knn, dna_list=[],[]

for j, row in df.iterrows():
    knn.append(row['Sequence'])
    dna_list[j:] = [list(knn)]

python

Solution 1:^[1]

you can do that with a nested for loop

    input = [['alpha', []], ['beta', []], ['gamma', []], ['delta', []]]
    result = []
    for i in range(len(input)):
        result.append([input[j][0] for j in range(0,i+1)])

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'Creating a 2D list of recursive patterns without slicing or list()

Solution 1:[1]

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Solution 1:^[1]