Skip to main content

Python Most Effective Anagram Program

Two strings are anagram if all letters in one string is also there in the other and vice versa
There are three anagram logics here:

Using Sorted

def one(a, b):
  if sorted(a)==sorted(b):
    return True

Using Dictionary

def two(a,b):
  if len(a) != len(b):
    return False
  else:
    temp_dict = {}
    for l in a:
      if l in temp_dict:
        temp_dict[l] += 1
      else:
        temp_dict[l] = 1

    for l in a:
      if l in temp_dict:
        temp_dict[l] -= 1
      else:
        temp_dict[l] = 1

    for l in temp_dict:
      if temp_dict[l]!=0:
        return False
    return True

Using List

def three(a,b):
  a1=list(a)
  b1=list(b)
  if len(a) != len(b):
    return False
  else:
    index = 0
    for idx, val in enumerate(a):
      try:
        b1.pop(idx)
        a1.pop(0)
      except:
        return False
    return True
a = "Public Relations"
b = "Crap Built on Lies"
a = a.replace(" ", "").lower()
b = b.replace(" ", "").lower()
%timeit one(a,b)
%timeit two(a,b)
%timeit three(a,b)

Output

100000 loops, best of 3: 2.96 ยตs per loop 100000 loops, best of 3: 4.93 ยตs per loop 100000 loops, best of 3: 4.74 ยตs per loop

As you can see, first method that is Using Sorted is the most effective one. It is also the most readable code.

Comments

Popular posts from this blog

Difference between .exec() and .execPopulate() in Mongoose?

Here I answer what is the difference between .exec() and .execPopulate() in Mongoose? .exec() is used with a query while .execPopulate() is used with a document Syntax for .exec() is as follows: Model.query() . populate ( 'field' ) . exec () // returns promise . then ( function ( document ) { console . log ( document ); }); Syntax for .execPopulate() is as follows: fetchedDocument . populate ( 'field' ) . execPopulate () // returns promise . then ( function ( document ) { console . log ( document ); }); When working with individual document use .execPopulate(), for model query use .exec(). Both returns a promise. One can do without .exec() or .execPopulate() but then has to pass a callback in populate.

Python - List - Append, Count, Extend, Index, Insert, Pop, Remove, Reverse, Sort

๐Ÿ Advance List List is widely used and it's functionalities are heavily useful. Append Adds one element at the end of the list. Syntax list1.append(value) Input l1 = [1, 2, 3] l1.append(4) l1 Output [1, 2, 3, 4] append can be used to add any datatype in a list. It can even add list inside list. Caution: Append does not return anything. It just appends the list. Count .count(value) counts the number of occurrences of an element in the list. Syntax list1.count(value) Input l1 = [1, 2, 3, 4, 3] l1.count(3) Output 2 It returns 0 if the value is not found in the list. Extend .count(value) counts the number of occurrences of an element in the list. Syntax list1.extend(list) Input l1 = [1, 2, 3] l1.extend([4, 5]) Output [1, 2, 3, 4, 5] If we use append, entire list will be added to the first list like one element. Extend, i nstead of considering a list as one element, it joins the two lists one after other. Append works in the following way. Input l1 = [1, 2, 3] l1.append([4, 5]) Output...

Machine Learning โ€” Supervised, Unsupervised, and Reinforcement โ€” Explanation with Example

๐Ÿค– Let's take an example of machine learning and see how it can be performed in three different ways โ€” Supervised, Unsupervised, and Reinforcement. We want a program to be able to identify apple in pictures Supervised Learning You will create or use a model that takes a set of pictures of apple and it analyses the commonality in those pictures. Now when you show a new picture to the program, it will identify whether it has an apple or not. It can also provide details on how confident is the program about it. Unsupervised Learning In this method, you create or use a model that goes through some images and tries to group them as per the commonalities it observes such as color, shape, size, partern, etc. And now you can go through the groups and inform the program what to call them. So, you can inform the program about the group that is apple mostly. Next time you show a picture, it can tell if an apple is there or not. Reinforcement Learning Here the model you create or...