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# Iterative Fibonacci Function Example : One way to write a Fibonacci function iteratively

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- In the last video I challenged you to write
- multiple Fibonacci functions. The ones that could calculate
- the "n-th" term of the Fibonacci sequence
- either iteratively or recursively and I'll do the first shot
- right over here. And I'll show you over the next few videos
- that the is really multiple ways of even doing this
- iteratively.
- So let's define our function "fibonacci" and it has a peremiter "n".
- That is what we are going to pass to the function and we know that
- by definition the first two terms of the Fibonacci sequence are 0 and 1.
- So let's make a list for ourselves and so this is interesting
- so this is the first time we are really going to do some,
- you know, some actual list manipulation in this video.
- So the terms here, the 0-th term of the fibonacci sequence is 0
- and the first one is 1.
- This is by definition. So we're just gonna kinda hardcode that in right there.
- And then what we're gonna do is, then we're going to construct this list
- to all of the terms up to and including the "n-th" term.
- And then return the "n-th" term from that list. And the reason
- why I'm going to do it this way is that it is able to save up
- kind of a memory of all the Fibonacci numbers, which is helpul
- for computing each incremental Fibonacci number. So let's do it this way.
- I'm gonna use the while-loop. You could do it using the for-loop but for me
- the while-loop feels a little more natural for this.
- And actually before I even define the while-loop, I'm gonna set my
- variable of iteration I should say. I'm gonna set that equal to 0.
- And your gonna see how this works in a second.
- So I'm gonna say while "i" is less than or equal to n, so "i" is
- gonna start at 0 and go up to n. And frankly I shouldn't start
- at 0. Cause we already have this 0-th term here on the first term here
- and we want to construct the second, third, fourth all the way
- to the n-th term. So actually let's start "i" at 2. So we
- already have the 0-th term in the first term, we then want to
- construct the second term so thats why we are going to start "i" equals 2
- all the way up to and including the n-th term.
- So that's why we say less than or equal to n, we are gonna
- keep adding terms to this sequence.
- So while "i" is less than or equal to "n", I'm gonna take this list right here
- and to the end of that list and this is a built-in function for any list in Python
- and you're learning it now and you could look it up and actually my IDE
- tells me how to use it. I can add to the end of that list another term.
- And that next term I'm going to add at the end of the list is going to be
- the SUM of the previous 2 terms. So it is going to be
- terms "i" - 1, so thats the previous term, terms "i"-1 literally refers
- to the previous term plus terms "i" - 2. So it is essentially going to construct this Fibonacci
- sequence and build it in this list and then we are going to increment "i".
- I is equal to "i" + 1. If we never increment "i" then this loop
- will just keep going on for ever and ever but this way it's gonna keep going
- up and up until at some point "i" is not going to be less than or equal to "n"
- and then we are going to break out of the loop. And then
- when we break out of the loop, we can then return the "n-th"
- Fibonacci term in the sequence. So we're going to return the "n-th" term in terms.
- So let's see if this works, let's see if this makes sense.
- So I'm going to go all the way up to the n-th term.
- And actually the "n-th" term here, yes this should work cause if I had
- if this was Fibonacci of 0, I want it to return terms of 0 which is this term over here
- if it's Fibonacci of 1 I wanna return this term right over here.
- So it's the first term in terms over here not 0-th but the first.
- So this feels like it should work and actually even before i run it,
- i want you to make sure you understand what i've done here with the list.
- So I'm gonna show you a little bit of example how these lists work.
- So if I define a list as, I don't know, 1,2. That's my list.
- And if i then say, it is doing something weird, so I'm gonna define my list as
- 1 coma 2
- So if i type "a" it is 1,2. If I append "a", a.append.
- Let's I append a 7 to it then if I look "a" I have a 7 at the end it.
- If I wanna refer to the elements here a[0] should be the first element.
- The second element, i've just put 2 in the bracket, should give me the 7.
- So that is exactly what I'm doing over here.
- I'm saying terms of "i" - 1, so we're going to add a new term over here
- so this first time we go through the loop we are going to add a new term
- and it is going to be the SUM of terms of "i" - 1, so in that first loop "i" is 2
- "i" - 1 is 1 so terms of 1 + terms of 0.
- So it is going to be terms of 1 which is + terms of 0.
- And then it keeps doing that all the way until we construct the n-th term.
- Well enough talk and I'll step through it a little bit clearer in the next video
- with the particular example but let's just see what we wrote
- actually works. So let me run it.
- All right.
- Let's see if we get the proper results.
- Well let's just start at the beginning.
- Fibonacci of 0 well that looks good.
- Let's try Fibonacci of 1.
- That looks good.
- Fibonacci of 2 that should also be 1.
- That looks good.
- Fibonacci of 3 this should be 2 now cause we are taking the SUM of 1 + 1.
- That works.
- Let's try the Ficonacci of 10.
- Hey that looks pretty good.
- Let's try the Fibonacci of something huge.
- Fibonacci of a 100.
- This is a very large number and I'm not going to go into the whole
- floating kind of the long numbers and super long large ones but let's try
- something a little bit smaller over here.
- So let's try Fibonacci of 20.
- So it looks like it works and you can verify for yourself.
- So this is just one implementation of it and in the next few I'm gonna try
- another way to implement it. Maybe I'll do it with a for-loop or we could also do it recursively.

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