--- title: What is the difference between xrange and range in Python? description: What is the difference between xrange and range in Python? --- [Skip to content](https://help.datasciencedojo.com/migration/what-is-the-difference-between-xrange-and-range-in-python#main-content) English Show submenu for translations [Customer portal](https://help.datasciencedojo.com/tickets-view?hsLang=en) ![DSD main logo.png\]](https://help.datasciencedojo.com/hs-fs/hubfs/DSD%20main%20logo.png?height=40&name=DSD%20main%20logo.png) - [Default HubSpot Blog](https://help.datasciencedojo.com/blog) Open main navigation Close main navigation - [Default HubSpot Blog](https://help.datasciencedojo.com/blog) - English Show submenu for translations - [Customer portal](https://help.datasciencedojo.com/tickets-view) - Go to datasciencedojo.com Go to datasciencedojo.com How can we help? - There are no suggestions because the search field is empty. 1. [Help Center](https://help.datasciencedojo.com/migration?hsLang=en) 2. [Python Programming](https://help.datasciencedojo.com/migration/python-programming?hsLang=en) # What is the difference between xrange and range in Python? In Python, the assignment statement (= operator) does not copy objects. Instead, it creates a binding between the existing object and the target variable name. To create copies of an object in Python, we need to use the copy module. Moreover, there are two ways of creating copies for the given object using the copy module -   Shallow Copy is a bit-wise copy of an object. The copied object created has an exact copy of the values in the original object. If either of the values is a reference to other objects, just the reference addresses for the same are copied. Deep Copy copies all values recursively from source to target object, i.e. it even duplicates the objects referenced by the source object.   from copy import copy, deepcopy list\_1 = \[1, 2, \[3, 5\], 4\] \## shallow copy list\_2 = copy(list\_1) list\_2\[3\] = 7 list\_2\[2\].append(6) list\_2 # output =\> \[1, 2, \[3, 5, 6\], 7\] list\_1 # output =\> \[1, 2, \[3, 5, 6\], 4\] \## deep copy list\_3 = deepcopy(list\_1) list\_3\[3\] = 8 list\_3\[2\].append(7) list\_3 # output =\> \[1, 2, \[3, 5, 6, 7\], 8\] list\_1 # output =\> \[1, 2, \[3, 5, 6\], 4\] - [Data Science Bootcamp](https://help.datasciencedojo.com/migration/data-science-bootcamp?hsLang=en#main-content) - [Certificate](https://help.datasciencedojo.com/migration/data-science-bootcamp?hsLang=en#certificate) - [Logistics](https://help.datasciencedojo.com/migration/data-science-bootcamp?hsLang=en#logistics) - [Curriculum](https://help.datasciencedojo.com/migration/data-science-bootcamp?hsLang=en#curriculum) - [Target Audience](https://help.datasciencedojo.com/migration/data-science-bootcamp?hsLang=en#target-audience) - 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