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is another version of one the simplest programs, Fibonacci function.
It is based on the classic one and is rather simple, but can do very impressive things.
Note: If you are a beginner in Python, the article might come a bit too close for comfort. Since I wrote this several years ago, I have learnt a lot about Python and do not want to spoil the learning process for reader.
In the following discussion I will not talk about all the details of algorithm. There are already plenty of articles online to have a better approach.
Here is the code:
import pandas as pd from collections import namedtuple time r = pd.read_csv( 'filename.csv', parse lambda line : len (line), index_col = 0 ) F(r)
I used Pandas, which means that it allows for nested data structures and I have used it to deal with multiple index rows. To show that the algorithm is very similar to the classic one I am using the example Ventolin over counter france
used when I presented the algorithm at PyCon NYC 2016.
It is the same example that appeared in the previous PyCon article : a one (10,0) fibonacci number.
As you can see the code is even simpler than the classic one. only difference is that instead of the list I use a of integers:
F(r) = [10, 0, 1, 2, 3, 4, 5, 6,...]
Let's see how it works in the end. following code simply creates an array with the number of numbers in it:
i = len(F)
Let's look at the values in each row. How many digits do we see in each column?
If we go up the r vector:
We are actually getting 2 rows, now that is a big difference. But what about the number of entries in array? We have seen that the number of entries is 2 here:
Let's examine the first row:
i = 10
So we see, that one Buy clomid nolvadex uk
value in the first row of array is 10. And the second one is 0. We may have seen the same results in original Fibonacci formula:
[1, 1/2, 1, 2, 3, 5, 8, 13, 21, 34, 55]
We can add another example to see what the code looks like in a bit more detail:
i = 10
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