Difference between List and Dictionary in Python
Lists are just like the arrays, declared in other languages. Lists need not be homogeneous always which makes it a most powerful tool in Python. A single list may contain DataTypes like Integers, Strings, as well as Objects. Lists are mutable, and hence, they can be altered even after their creation.
Example:
Python3
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# Python program to demonstrate # Lists # Creating a List with # the use of multiple values List = ["Geeks", "For", "Geeks"] print["List containing multiple values: "] print[List[0]] print[List[2]]
# Creating a Multi-Dimensional List # [By Nesting a list inside a List] List = [['Geeks', 'For'] , ['Geeks']] print["\nMulti-Dimensional List: "] print[List] |
Output:
Dictionary in Python on the other hand is an unordered collection of data values, used to store data values like a map, which unlike other Data Types that hold only single value as an element, Dictionary holds key:value pair. Key-value is provided in the dictionary to make it more optimized. Each key-value pair in a Dictionary is separated by a colon :, whereas each key is separated by a ‘comma’.
Example:
Python3
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# Python program to demonstrate # dictionary # Creating a Dictionary # with Integer Keys Dict = {1: 'Geeks', 2: 'For', 3: 'Geeks'} print["Dictionary with the use of Integer Keys: "] print[Dict]
# Creating a Dictionary # with Mixed keys Dict = {'Name': 'Geeks', 1: [1, 2, 3, 4]} print["\nDictionary with the use of Mixed Keys: "] print[Dict] |
Output:
Difference between List and Dictionary:
| List is a collection of index values pairs as that of array in c++. | Dictionary is a hashed structure of key and value pairs. |
| List is created by placing elements in [ ] separated by commas “, “ | Dictionary is created by placing elements in { } as “key”:”value”, each key value pair is separated by commas “, “ |
| The indices of list are integers starting from 0. | The keys of dictionary can be of any data type. |
| The elements are accessed via indices. | The elements are accessed via key-values. |
| The order of the elements entered are maintained. | There is no guarantee for maintaining order. |
Space-Time Trade-Off
It is more efficient to use a dictionary for lookup of elements because it takes less time to traverse in the dictionary than a list.
For example, let’s consider a data set with 5000000 elements in a machine learning model that relies on the speed of retrieval of data. To implement this we have to choose wisely between two data structure i.e. list and dictionary. The dictionary is preferred because of less time and less space storage as dictionaries are implemented in the form of hash tables from python3.6 so it is never a space-time trade-off problem in dictionaries.
Example 1:
Python3
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# Program to demonstrate # space-time trade-off between # dictionary and list # To calculate the time # difference import time # Creating a dictionary d ={'john':1, 'alex':2} x = time.time[] # Accessing elements print["Accessing dictionary elements:"] for key in d: print[d[key], end=" "] y = time.time[] print["\nTime taken by dictionary:", y-x] # Creating a List c =[1, 2] x = time.time[] print["\nAccessing List elements:"] for i in c: print[i, end=" "]
y = time.time[] print["\nTime taken by dictionary:", y-x] |
Output:
Example 2:
Python3
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# Program to fetch particular # elements of structure import time # Creating dictionary and list dict_name ={"bob":12, "john":11} list_name =[2, 3, 4, 5, 1] # Time taken by dictionary x = time.time[] L = dict_name["bob"] y = time.time[] print["Time taken by dictionary:", y-x] # Time taken by list x = time.time[] L = list_name[2] y = time.time[] print["\nTime taken by list:", y-x] |
Output:
Note: It took more time for fetching a single element in a list than that of a dictionary because dictionary uses hashtable for implementing the arrangement.
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List vs Dictionary | 10 Difference Between List and Dictionary
Python supports various in-built data structures to make the programming easy and efficient like any other programming language. All these python data structures are sequential and store data collection in various formats, unlike others. List and dictionary are some of those python data structures that are simple yet powerful and store a wide range of data. This article will explain list and dictionary data structure and their difference and when to use list vs. dictionary in Python.
Difference between list and dictionary
List and dictionary are fundamentally different data structures . A list can store a sequence of objects in a certain order such that you can index into the list, or iterate over the list. Moreover, List is a mutable type meaning that lists can be modified after they have been created. Python dictionary is an implementation of a hash table and is a key-value store. It is not ordered and it requires that the keys are hashtable. Also, it is fast for lookups by key.
Elements in a list have the following characteristics:
- They maintain their ordering unless explicitly re-ordered [for example, by sorting the list].
- They can be of any type, and types can be mixed.
- They are accessed via numeric [zero based] indices.
Elements in a Dictionary have the following characteristics:
- Every entry has a key and a value
- Ordering is not guaranteed
- Elements are accessed using key values
- Key values can be of any hashtable type [i.e. not a dict] and types can be mixed
- Values can be of any type [including other dict’s], and types can be mixed
Use a dictionary when you have a set of unique keys that map to values and to use a list if you have an ordered collection of items.
Next:Different file processing modes supported by Python
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List Vs. Dictionary in Python: Know the Difference Between List and Dictionary in Python
Both of these are tools used in the Python language, but there is a crucial difference between List and Dictionary in Python. A list refers to a collection of various index value pairs like that in the case of an array in C++. A dictionary refers to a hashed structure of various pairs of keys and values. In this article, we will discuss the same in a tabular form. But let us first know a bit more about each of these individually.
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