![]() The Python range function takes three arguments: start, stop, and step. It is a very useful function and is used in many different ways. The range function is a built-in function in Python that is used to generate a sequence of numbers. In this article, we will take a detailed look at the Python range Function. It is a very powerful function and is used in many different ways. The Python range function is used to generate a sequence of numbers. One of the most commonly used built-in functions in Python is the range function. Python has a lot of built-in functions that can be used for different purposes. It is an interpreted, high-level, general-purpose programming language. range() and xrange() ExamplesĮxample 1: Printing all the values in the range from 0 to 9.Python is one of the world’s most popular programming languages. To make the code portable so that it should work with both Python versions, use range() instead of xrange(). range() in Python 3.x works exactly same as xrange() in Python 2.x.In Python 3.x, xrange() is removed and there is an only range().Using a range with different Python Version… In Python 3.x, they removed range (from Python 2.x) and renamed xrange() as a range(). So, they wanted to use xrange() by deprecating range(). Even though xrange takes more time for iteration, the performance impact is very negligible. In Python 2.x, the xrange() requires very little memory as it doesn’t save any sequence values. If you need faster execution of your program, use range(). ![]() The xrange() is very well optimized than range(). It just evaluates the next value whenever needed. ![]() ![]() If you are performing an action on a very large range of elements, it is good to use xrange(). If you observe, the time required to generate an element using xrange is higher than using the range. You can use timeit module to figure out the time required for each iteration during evaluating values for range() and xrange(). Running xrange() is slower as compared to the range() as xrange evaluates the value of the element during each iteration. It is clear if you have limited memory space to run your program where you need to generate a gigantic range of elements, you should use xrange() over the range(). The range() will throw the MemoryError exception. Generate the gigantic number of elements using both range and xrange. So, range() takes more memory to save these elements in the list.īelow is a code sample for testing. Which does take more memory?Īs range() created a list of all the elements and save it before iterating. Whereas, xrange does not saves any element and evaluate each element during each iteration. For more detail, you can read the generator function and yield value in Python. The xrange() is another generator and the value is created using a special technique called as yielding. It evaluates each element in the sequence and returns values from 1 to 9 (9 inclusive). It doesn’t create a list and each sequence element is evaluated lazily during each iteration. In other words, next iteration is similar to the returning last_value+1. Here is an example using range() and xrange() for iterating over the loop and printing values from 1 to 9 (9 inclusive). We can use these two built-in methods in the for-loop statement. It is optional parameter and default value is 1.Īll three arguments belong to the numeric data type of Python. Step is integer value by which each element is incremented.Stop is the last integer value where you would like to stop iterating.It is optional parameter and default value is 0. Start is the first integer value generated in the range.It takes 3 arguments- start, stop and step. The function range and xrange generated the series of numbers. xrange vs range | Working Functionality:.What is the difference between range and xrange?.(COA) Computer Organization & Architecture.
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