Python for loops are commonly used in data science to loop through an iterable object (such as a list, tuple, set, etc.) and perform the same operation for each entry. A for loop, for example, allows us to cycle through a list of items, performing the identical action on each one.
The Python programming language has many features that are helpful in data analysis. One of these is loops. Loops are used to perform an instruction on a group of data, for example counting through the elements in an array.
Python loops are an important part of almost every program. They allow you to repeat a series of instructions that alters each time. There are two types of loops in Python: the while loop and the for loop. The while loop is used when you want to iterate over a block of code until a certain condition is met, whereas the for loop cycles through a list.
A for loop is a programming language structure that repeats a group of statements until the group is completed or stopped. The for loop iterates over an iterator yielding its items one by one, typically an index variable initialized to the first item of the group. Traditionally, for loops are used in conjunction with arrays to iterate through all of the elements in that array.