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Remember, every list comprehension can be rewritten in for loop, but every for loop canвЂ™t be rewritten in the form of list comprehension.How many times have you sat down for the evening, gotten comfortable with your drink, put on your lounge pants.

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However, we should avoid writing very long list comprehensions in one line to ensure that code is user-friendly.

List comprehension is generally more compact and faster than normal functions and loops for creating list.

List comprehension is an elegant way to define and create lists based on existing lists.

Hence at first, a value is assigned to i then item directed by row is appended in the transpose variable. In the above program, for i in range(2) is executed before row for row in matrix. **Note: The nested loops in list comprehension donвЂ™t work like normal nested loops. In above program, we have a variable matrix which have 4 rows and 2 columns.We need to find transpose of the matrix. When we run the above program, the output will be:, ] Transpose = for row in matrix] for i in range(2)] Example 8: Transpose of a Matrix using List Comprehension matrix =, ,, ] In this section, we will find transpose of a matrix using nested loop inside list comprehension. We can also perform nested iteration inside a list comprehension. The above code use two for loops to find transpose of the matrix. Example 7: Transpose of Matrix using Nested Loops transposed = LetвЂ™s see how it is done using normal for loop first. Suppose, we need to compute the transpose of a matrix that requires nested for loop. If i is divisible by 2, then Even is appended to the obj list. Here, list comprehension will check the 10 numbers from 0 to 9. Example 6: if.else With List Comprehension obj = If y satisfies both conditions, y is appended to num_list.

Example 5: Nested IF with List Comprehension num_list = The list, number_list, will be populated by the items in range from 0-19 if the item's value is divisible by 2. When we run the above program, the output will be: Example 4: Using if with List Comprehension number_list = We will create list that uses mathematical operators, integers, and range(). List comprehensions can utilize conditional statement to modify existing list (or other tuples). It is easier to understand what the programmer was trying to accomplish when list comprehensions are used. However, list comprehensions are usually more human readable than lambda functions. When we run the program, the output will be Example 3: Using Lambda functions inside List letters = list(map(lambda x: x, 'human')) Various built-in functions and lambda functions can create and modify lists in less lines of code. List comprehensions arenвЂ™t the only way to work on lists. But as you learn and get comfortable with list comprehensions, you will find yourself replacing more and more loops with this elegant syntax. However, not every loop can be rewritten as list comprehension. It can identify when it receives a string or a tuple and work on it like a list. If you noticed, human is a string, not a list. We can now identify where list comprehensions are used. We call print() function to receive the output. In the above example, a new list is assigned to variable h_letters, and list contains the items of the iterable string 'human'. LetвЂ™s see how the above program can be written using list comprehensions.Д®xample 2: Iterating through a string Using List Comprehension h_letters = List comprehension is an elegant way to define and create lists based on existing lists. However, Python has an easier way to solve this issue using List Comprehension. When we run the program, the output will be: The first thing that comes in mind would be using for loop.Д®xample 1: Iterating through a string Using for Loop h_letters = Suppose, we want to separate the letters of the word human and add the letters as items of a list.

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