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#Basic data structures full#

Now the constant values here are Name and the Phone Numbers which are called as the keys. To understand better, think of a phone directory where hundreds and thousands of names and their corresponding numbers have been added. My_list.sort(reverse=True) #sort original listĭictionaries are used to store key-value pairs. Print(sorted(my_list)) #print sorted list but not change original Print(my_unt(10)) #find count of the element Print(my_list.index(10)) #find index of element that occurs first The sorted() has a return type whereas the sort() modifies the original list.

The sorted() and sort() functions do the same thing, that is to sort the values of the list.

The count() function finds the count of the value passed to it.

The index() function finds the index value of value passed where it has been encountered the first time.

The len() function returns to us the length of the list.

You have several other functions that can be used when working with lists. Print(my_list) #access elements in reverse Print(my_list) #access elements from 0 to 1 and exclude 2 You pass the index values and hence can obtain the values as needed.įor element in my_list: #access elements one by one Popped Element: 2 List remaining: Īccessing elements is the same as accessing Strings in Python. Print('Popped Element: ', a, ' List remaining: ', my_list) My_list.remove('example') #remove element with valueĪ = my_list.pop(1) #pop element from list My_list = ĭel my_list #delete element at index 5

To remove an element by its value, you use the remove() function.

If you want the element back, you use the pop() function which takes the index value.

To delete elements, use the del keyword which is built-in into Python but this does not return anything back to us.

My_list.insert(1, 'insert_example') #add element i My_list.extend() #add as different elements My_list.append() #add as a single element The insert() function adds the element passed to the index value and increase the size of the list too.The extend() function adds the elements one-by-one into the list.The append() function adds all the elements passed to it as a single element.Adding ElementsĪdding the elements in the list can be achieved using the append(), extend() and insert() functions. If you do not pass any elements inside the square brackets, you get an empty list as the output. To create a list, you use the square brackets and add elements into it accordingly. Let us now understand lists better with the help of an example program.įind out our Python Training in Top Cities/Countries India There is also negative indexing which starts from -1 enabling you to access elements from the last to first. The index value starts from 0 and goes on until the last element called the positive index. There are addresses assigned to every element of the list, which is called as Index. Lists are used to store data of different data types in a sequential manner. So now that you know what are the types available to you, why don’t we move ahead to the Data Structures and implement them using Python.Īs the name suggests, these Data Structures are built-in with Python which makes programming easier and helps programmers use them to obtain solutions faster. The most prominent Data Structures are Stack, Queue, Tree, Linked List and so on which are also available to you in other programming languages.

#Basic data structures full#

Python allows its users to create their own Data Structures enabling them to have full control over their functionality. These structures are called List, Dictionary, Tuple and Set. Python has implicit support for Data Structures which enable you to store and access data. Data Structures allows you to organize your data in such a way that enables you to store collections of data, relate them and perform operations on them accordingly. Organizing, managing and storing data is important as it enables easier access and efficient modifications. The article has been broken down into the following parts: With that being said, let us go through the topics we will cover in Data Structures in Python. So how do you achieve this? We use something called Data Structures. But to make all of this possible, data plays a very important role which means that this data should be stored efficiently and the access to it must be timely. Python has been used worldwide for different fields such as making websites, artificial intelligence and much more.