Loading...
Python is a high-level, object-oriented programming language that has recently been picked up by a lot of students as well as professionals due to its versatility, dynamic nature, robustness, and also because it is easy to learn. Not only this, it is now the second most loved and preferred language after JavaScript and can be used in almost all technical fields, be it machine learning, data science, web development, analytics, automation, testing, artificial intelligence, and a lot more.
Learning Python is easy as compared to other high-level, object-oriented programming languages such as Java or C++but it has a few advanced concepts that come in handy when developing code that is robust, crisp, highly optimized, efficient, and normalized. Using these concepts in your code, you will be able to reduce bugs in your code as well as increase its efficiency thereby making you a seasoned Python programmer. So let us look at these concepts one by one and understand them in detail
Comprehensions in Python allow us to write a concise line to create new sequences (such as lists, set, dictionary etc.) using sequences which have already been defined. Python provides the following four types of comprehensions:
List Comprehensions
Dictionary Comprehensions
Set Comprehensions
Generator Comprehensions
