Maximize It! python
You are given a function f(X)=X^2. You are also given K lists. The ith list consists of Ni elements. You have to pick one element from each list so that the value from the equation below is maximized: S=(f(X1) + f(X2) +....+ f(Xk)%M Xi denotes the element picked from the ith list . Find the maximized value Smax obtained. % denotes the modulo operator. Note that you need to take exactly one element from each list, not necessarily the largest element. You add the squares of the chosen
View Solution →collections.Counter() python
collections.Counter() A counter is a container that stores elements as dictionary keys, and their counts are stored as dictionary values. Sample Code >>> from collections import Counter >>> >>> myList = [1,1,2,3,4,5,3,2,3,4,2,1,2,3] >>> print Counter(myList) Counter({2: 4, 3: 4, 1: 3, 4: 2, 5: 1}) >>> >>> print Counter(myList).items() [(1, 3), (2, 4), (3, 4), (4, 2), (5, 1)] >>> >>> print Counter(myList).keys() [1, 2, 3, 4, 5] >>> >>> print Counter(myList).values() [3, 4,
View Solution →DefaultDict Tutorial python
The defaultdict tool is a container in the collections class of Python. It's similar to the usual dictionary (dict) container, but the only difference is that a defaultdict will have a default value if that key has not been set yet. If you didn't use a defaultdict you'd have to check to see if that key exists, and if it doesn't, set it to what you want. For example: from collections import defaultdict d = defaultdict(list) d['python'].append("awesome") d['something-else'].append("not
View Solution →Collections.namedtuple() python
collections.namedtuple() Basically, namedtuples are easy to create, lightweight object types. They turn tuples into convenient containers for simple tasks. With namedtuples, you don’t have to use integer indices for accessing members of a tuple. Example Code 01 >>> from collections import namedtuple >>> Point = namedtuple('Point','x,y') >>> pt1 = Point(1,2) >>> pt2 = Point(3,4) >>> dot_product = ( pt1.x * pt2.x ) +( pt1.y * pt2.y ) >>> print dot_product 11 Code 02 >>> from
View Solution →Collections.OrderedDict() python
collections.OrderedDict An OrderedDict is a dictionary that remembers the order of the keys that were inserted first. If a new entry overwrites an existing entry, the original insertion position is left unchanged. Example Code >>> from collections import OrderedDict >>> >>> ordinary_dictionary = {} >>> ordinary_dictionary['a'] = 1 >>> ordinary_dictionary['b'] = 2 >>> ordinary_dictionary['c'] = 3 >>> ordinary_dictionary['d'] = 4 >>> ordinary_dictionary['e'] = 5 >>> >>> print
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