If you are wondering what is Python used for? The answer is nearly everything! Python is one of the most in-demand programming languages in the world and its popularity has risen tremendously in just the last 2-3 years. According to the TIOBE Index, Python’s popularity jumped three-folds from 2.98 percent in 2017 to 9.69 percent in 2020!

What is Python used for - TIOBE Index for Python
Source: TIOBE

With a vast library ecosystem, low entry barrier, and high flexibility, Python is preferred by developers for building web and mobile applications, machine learning models, and preparing data for analytics. Python also has an active community of enthusiasts who are always ready to help other fellow developers. Though you shouldn’t let the wide range of Python scare you, it is pretty easy to learn. In this article, we’ll discuss the many uses of the Python programming language.

What is Python used for?

Before understanding what is Python used for, let’s first understand what is Python programming language.

What is Python Programming Language?

Python is a widely used, interpreted, and general purpose programming language that has gained immense popularity because of its diverse functionalities and easy to use features. Python offers high level data structures, modules, exceptions, and dynamic typing and binding which make it useful even for complex application development processes. You can easily run Python on almost all operating systems and even run code written in C++ or C on it. It supports nearly every system architecture out there and its ubiquitous nature is the reason why Python has become the universal language for many developers. 

Python also includes thousands of third-party modules in the Python Package Index (PyPI) like Pandas, NumPy, and Matplotlib for data science, and Django for web development. You can learn Python through the many Python tutorials which are available.

Use Cases of Python Programming Language

1. What is Python used for: web and desktop applications 

Python’s flexibility allows developers to create sophisticated and complex web apps with ease. While JavaScript and HTML are mostly used for building frontend interfaces, you can use Python based frameworks to handle backend and server-side functionality. It’s also possible to use the Python standard library to develop desktop applications with a GUI. 

Popular web applications that are built on Python include Dropbox and Netflix.

2. What is Python used for: Mobile applications

Python is used to develop mobile applications for both iOS and Android. While Python does not have in-built mobile development capabilities, there are packages available in Python which can be used to create mobile applications like Beeware’s Toga, PyQt, and Kivy. 

Some of the popular mobile apps which are built on Python include Instagram, Uber, and Spotify

3. What is Python used for: Artificial Intelligence

Python is also preferred for artificial intelligence and machine learning because of the widespread libraries that it has. Machine learning requires data processing and Python can help in accessing, handling, and transforming data.  Python’s low entry barrier and easy readability make it convenient for people working in the ML and AI industry to use it for effective development without wasting too much effort in learning a new language.

Some of the many Python libraries that support machine learning algorithms include Keras, TensorFlow, MatplotLib, and Scikit-learn.

4. What is Python used for: Data Science 

Python also offers a wide set of libraries for data science. Its massively diverse libraries can be used for data manipulation and they are also easy to use even for new data analysts. For data scientists, it’s important to be able to represent data in a human-legible format and Python can help with that. Libraries like Matplotlib help data scientists in building histograms, charts and plots for data visualisation and effective comprehension. Some of the Python libraries for data science include Pandas and NumPy.

Real-world Applications of Python

Many organisations use Python to strengthen their backend and server-side processes. Some of the best known and vocal Python companies include: 

  • Skyscanner uses Python based AI algorithms to predict the behaviour of new airplane routes. The algorithm compares thousands of destinations and origins to evaluate them based on 30 different criteria in order to better understand the passenger demands.
  • Uber developed the machine learning platform Michelangelo PyML with the help of Python to make offline and online predictions for solving day to day tasks
  • Google uses Python internally and also shares its learnings online
  • Mozilla Firefox has over 230k lines of code that are written in Python
  • Microsoft allows developers to code in Python through its IDE, visual studio code
  • Netflix uses Python for data science and regional failover monitoring 
  • Reddit is majorly written in Python

In addition to these, many other IT infrastructure technologies are also written in Python. OpenStack, which powers both public and private clouds in data centres around the world uses Python and so does infrastructure software Ansible.

Python is the perfect programming language if you are interested in learning how to code or pivoting your career. There are only a few languages out there which are as straightforward, simple, and versatile as Python. It’s a great choice for a wide range of projects, from simple web applications to complex machine learning models.

If you are planning to learn Python to get a better understanding of artificial intelligence and machine learning, it’s always best to start with the basics. Springboard offers a comprehensive 6-month course in AI/Machine Learning with 1:1 mentorship, career coaching and job guarantee. Take a look at the syllabus and apply today.