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Importance of Iteration in Python

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Why is iteration important in Python? python iterations can be a little tricky to understand. The subtle differences in terminology like iteration, iterator, iterating, and iterable are not the most comfortable for beginners.

for loop is the most human-readable way to iterate in Python. This is especially useful when you are writing code that others need to read and understand, which is always the case.

Roughly speaking, the iterating variable is anything you can put in a group. For instance, letters in a string, list items, or integers in a range of integers.

Iterable contains the things you iterate over. It can also take different forms: a string of multiple characters, a series of numbers, a list, etc.

A statement indicates that you are doing something with the iteration variable. This can be anything from a mathematical expression to simply printing a result.

Here are some simple examples that print each iterating variable from an iterable:

for the letter in “Maybe later”:

seal (letter)

for i in the range (10):

seal

breakfast menu = [“fries”, “eggs”, “beans”, “biscuits”]

to select in a breakfast menu:

print (optional)

You can even use a for loop in more compact situations, like this:

breakfast buffet=”“. join(str(item) for breakfast menu)

The downside regarding for loop is that they can get quite a bit of detail depending on how much you want to accomplish. For anyone who wants to make their Python code as easy to understand as possible, the ‘for loops’ is the easiest option.

Python provides a pair of built-in modules that allow you to step behind the for loop and pull the iteration handle on your own.

iter () takes a container object as an argument and asks it to create and return a new iterator object. If the argument passed is not a container, a TypeError is thrown: Object is immutable.

next () takes an iterator as an argument and returns the next container element each time it is called. Once the container has no more objects to return, a StopIteration exception is thrown.

To manually continue the first for loop from the previous section, we call iter () once, followed by four calls to next ():

>>> it

<list iterator object at 0x7f072ffdb518>

>>> print (continue))

2

>>> print (continue))

3

>>> print (continue))

5

>>> print (continue))

Trackback (last call):

…

StopIteration

This is exactly the action the Python for loop performs. Of course, the actual for loop doesn’t encode the exact number of next () calls like this – instead, the for executes like the following while loop:

Importance Of Iteration

Computers are good at repeating the same or similar tasks without errors and humans are bad at it. The repeated execution of a set of operators is called iteration. Because iteration is so common, Python provides several language features to make things easier.

Iteration allows for simplification of an algorithm by specifying that we will repeat certain steps until specified otherwise. This makes designing algorithms faster and easier because they do not have to involve a lot of steps that are not necessary.

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