How do you compute tf-idf from a list without using the counter class

[syntaxkiller]

I have a bit of code that works well in calculating term frequency using the counter class import.

from collections import Counter

terms=['the', 'fox', 'the', 'quick', 'fox', 'jumps', 'over', 'the', 'lazy', 'dog']

tf = Counter(terms)

print(tf)

I am wondering can this be done without the use of the counter class in a simple def.

[wavic]

It can. I have done it but I wouldn't if at that moment I knew for collections.Counter.
A hint... See defaultdict

[syntaxkiller]

I want to do it without dict

[wavic]

Hm! It's more work but... Just start codding.

[buran]

I want to do it without dict

in any case use need to end-up with some sort of data structure with term,count pairs - either dict, list/tuple of 2-element list/tuples, etc. and in this case dict is the best option.
This looks liek homework, so I move the thread to the appropriate sub-section

[wavic]

The tuple are immutable type so you have to use list of list pairs [character, counter]

[buran]

The tuple are immutable type so you have to use list of list pairs [character, counter]

That is why I said "end up" - e.g if implement his own counter function, that will iterate over the list (eventually converted to set) and return tuple (term, count) for each term in the input list/set

[wavic]

Sure, I miss my morning coffee. 

[nilamo]

I want to do it without dict

Cool.  If you have any trouble, feel free to share what you've tried, and we'll help.

But we won't do it for you.