first 100 prime numbers python list comprehension

Example 7: Transpose of Matrix using Nested Loops transposed = Let’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 aren’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'. Let’s see how the above program can be written using list comprehensions.Įxample 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.Įxample 1: Iterating through a string Using for Loop h_letters = I have flattened the list and also produced a list with the composite numbers missing for pattern recognition.Suppose, we want to separate the letters of the word human and add the letters as items of a list. If the list contains 2 or less elements it is added to the all_primes list. Because a prime number can factorize into 1 and itself. It then compares the value of the input to the range of numbers. I have created a simple code which finds the factors of any given integer.

First 100 prime numbers python list comprehension