Due to this, fetching the elements from the list data structure is quite complex compared to dictionaries in Python. The list is an ordered collection of data, whereas the dictionaries store the data in the form of key-value pairs using the hashtable structure.
When to use a dictionary vs list in Python? Reverse() method reverse the list elementsĭictionary items cannot be reversed as they are the key-value pairs Sort() method sorts the keys in the dictionary by defaultĬount() methods returns the number of elements appeared in listĬount() method does not exists in dictionation Sort() method sorts the elements in ascending or descending order List object is created using list() functionĭictionary object is created using dict() function The default order of elements is always maintainedĭictionaries are mutable, but keys do not allow duplicates We can access the elements using the keys We can access the elements using the index value The keys in the dictionary are of any given data type Indices are integer values starts from value 0 Also, each key and pair is separated by a semi-colon (:) To learn more about the python list, refer to our article “ 5 Ways to Convert Set to List in Python".
#DEALING WITH LIST OF DICTIONARIES PYTHON UPDATE#
As lists are mutable, you can add, update or delete the elements of the list at any moment while programming. Just as strings are defined as characters between quotes, lists are defined by having values between square brackets () separated by commas.Ī list is great to use when you have to deal with the related values. Each item or value that is inside of a list is called an element. Python possesses a list as a data structure that is an ordered sequence of elements and mutable in nature. This article will explain list and dictionary data structure and their difference and when to use list vs. List and dictionary are some of those python data structures that are simple yet powerful and store a wide range of data. All these python data structures are sequential and store data collection in various formats, unlike others. Python supports various in-built data structures to make the programming easy and efficient like any other programming language.
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