Assign values to array during loop - Python

Question

I am currently learning Python (I have a strong background in Matlab). I would like to write a loop in Python, where the size of the array increases with every iteration (i.e., I can assign a newly calculated value to a different index of a variable). For the sake of this question, I am using a very simple loop to generate the vector t = [1 2 3 4 5]. In Matlab, programming my desired loop would look something like this:

t = [];
for i = 1:5
    t(i,1) = i;
end

I have managed to achieve the same thing in Python with the following code:

result_t = []
for i in range(1,5):
    t = i
    result_t.append(t)

Is there a more efficient way to assign values to an array as we iterate in Python? Why is it not possible to do t[i,1] = i (error: list indices must be integers or slices, not tuple) or t.append(t) = t (error: 'int' object has no attribute 'append')?

Finally, I have used the example above for simplicity. I am aware that if I wanted to generate the vector [1 2 3 4 5] in Python, that I could use the function "np.arange(1,5,1)"

Thanks in advance for your assistance!

-> My real intention isn't to produce the vector [1 2 3 4 5], but rather to assign calculated values to the index of the vector variable. For example:

result_b = []
b = 2
for i in range(1,5):
    t = i + b*t
    result_b.append(t) 

Why can I not directly write t.append(t) or use indexing (i.e., t[i] = i + b*t)?

Solution

Appending elements while looping using append() is correct and it's a built-in method within Python lists.

However you can have the same result:

Using list comprehension:

result_t = [k for k in range(1,6)]
print(result_t)
>>> [1, 2, 3, 4, 5]

Using + operator:

result_t = []
for k in range(1,6):
    result_t += [k]

print(result_t)
>>> [1, 2, 3, 4, 5]

Using special method __iadd__:

result_t = []
for k in range(1,6):
    result_t.__iadd__([k])

print(result_t)
>>> [1, 2, 3, 4, 5]