Array in python
By: Koothrapalli in Python Tutorials on 2012-04-07
In Python, an array is a collection of items of the same data type, stored in contiguous memory locations. However, Python doesn't have built-in support for arrays like some other programming languages, such as C or Java. Instead, Python has a built-in list
data type, which can be used to store arrays and provides many additional features.
Here's an example of creating an array using a list in Python:
# Creating an array of integers my_array = [1, 2, 3, 4, 5] # Creating an array of strings my_array = ["apple", "banana", "cherry"] # Creating an array of mixed data types my_array = [1, "apple", True, 3.14]
To access elements of an array in Python, you can use indexing. The first element of an array has an index of 0, the second element has an index of 1, and so on. You can also use negative indexing to access elements from the end of the array.
Here's an example of accessing elements of an array using indexing:
my_array = [1, 2, 3, 4, 5] # Accessing the first element of the array print(my_array[0]) # Output: 1 # Accessing the last element of the array print(my_array[-1]) # Output: 5
You can also perform various operations on arrays in Python, such as adding or removing elements, sorting, reversing, and concatenating arrays.
my_array = [1, 2, 3, 4, 5] # Adding an element to the end of the array my_array.append(6) # Removing an element from the array my_array.remove(4) # Sorting the array my_array.sort() # Reversing the array my_array.reverse() # Concatenating two arrays new_array = [7, 8, 9] my_array += new_array
In general, the list
data type provides a lot of flexibility and functionality that makes it a powerful tool for working with arrays in Python.
Add Comment
This policy contains information about your privacy. By posting, you are declaring that you understand this policy:
- Your name, rating, website address, town, country, state and comment will be publicly displayed if entered.
- Aside from the data entered into these form fields, other stored data about your comment will include:
- Your IP address (not displayed)
- The time/date of your submission (displayed)
- Your email address will not be shared. It is collected for only two reasons:
- Administrative purposes, should a need to contact you arise.
- To inform you of new comments, should you subscribe to receive notifications.
- A cookie may be set on your computer. This is used to remember your inputs. It will expire by itself.
This policy is subject to change at any time and without notice.
These terms and conditions contain rules about posting comments. By submitting a comment, you are declaring that you agree with these rules:
- Although the administrator will attempt to moderate comments, it is impossible for every comment to have been moderated at any given time.
- You acknowledge that all comments express the views and opinions of the original author and not those of the administrator.
- You agree not to post any material which is knowingly false, obscene, hateful, threatening, harassing or invasive of a person's privacy.
- The administrator has the right to edit, move or remove any comment for any reason and without notice.
Failure to comply with these rules may result in being banned from submitting further comments.
These terms and conditions are subject to change at any time and without notice.
- Data Science
- Android
- React Native
- AJAX
- ASP.net
- C
- C++
- C#
- Cocoa
- Cloud Computing
- HTML5
- Java
- Javascript
- JSF
- JSP
- J2ME
- Java Beans
- EJB
- JDBC
- Linux
- Mac OS X
- iPhone
- MySQL
- Office 365
- Perl
- PHP
- Python
- Ruby
- VB.net
- Hibernate
- Struts
- SAP
- Trends
- Tech Reviews
- WebServices
- XML
- Certification
- Interview
categories
Related Tutorials
Python program to get location meta data from an image
Retrieve Twitter posts and comments using Python
How to install Jupyter in Ubuntu and make it accessible through Apache Reverse Proxy
Python Basics - Setting up your Python Development Environment
Schwartzian Transform in python
Multidimensional list (array) in python
Perl's chomp() equivalent for removing trailing newlines from strings in python
Comments