Python, with its versatility and ease of use, is one of the most popular languages amongst developers today. It is highly popular for startups, which are using it for basic tasks as well as for data scientists who are employing Python for highly complex tasks. With the added benefit of having a large number of libraries which make a lot of tasks easier without the need for additional codes, a large number of tasks can be performed by using Python. Some of the most popular uses are depicted below-


Scientific and Numeric Computing

Data Scientists often use various features of Python in order to analyze data, an aspect which is core to the field of data sciences. Various Python libraries such as SciPy and NumPy have been specifically developed in for performing complex computational tasks which are required by data scientists.


Python for Web Development

Python can be used by programmers who are just starting out for basic tasks such as web development. There are many Python libraries and frameworks such as Django which can be used to build highly functional websites without the need for too much coding and which can be undertaken by basic programmers too who are new to the world of coding. The other major benefit is that these libraries allow for the creation of back-end code as opposed to front-end code, which runs on the server as opposed to the users’ device, making the software work in a better manner.


Machine Learning

Python can be employed to design various algorithms which can be employed for a wide variety of tasks which can be efficiently performed through machine learning. There are Python libraries such as Tensorflow and Theano which can efficiently be employed in order to achieve the objects through Machine Learning algorithms. Here is our definitive list of the best python libraries for ML.



Python can be used for a variety of automation purposes, such as automation of social media posts, the creation of calculators, easily working with files etc. Through learning Python one can automate a large number of things through code such that tasks are performed more efficiently.

Python and its specialized libraries are continuously evolving which make it easier to perform a large number of tasks with Python with lesser lines of code. Its versatility and easiness to learn are also making it popular among non-programmers who are using it for a wide variety of tasks, some of which have been mentioned above.