Python list comprehensions are syntactic sugar used to create new lists or modify existing ones based on certain predicate logic.
Python list comprehensions are syntactic sugar used to create new lists or modify existing ones based on certain predicate logic. They’re often used to shorten three or more lines of Python loops into concise, elegant, and readable one-liners.
Here’s the basic syntax of the Python list comprehensions:
[expression for item in iterable]
You can also set conditionals and create nested comprehensions using the alternate syntaxes:
Photo by the author.
We can use Python list comprehensions to iterate over lists and transform them in a variety of ways. From finding elements in a list or flattening a list of lists to splicing lists, the number of things you can achieve with list comprehensions is truly limitless.
In the next few sections, we’ll walk through a diverse range of list comprehension examples in Python. By the end of the article, I hope you’ll be able to master the concept and use it in any scenario.
🔵 Intellipaat Data Science with Python course: https://intellipaat.com/python-for-data-science-training/In this Data Science With Python Training video, you...
In Conversation With Dr Suman Sanyal, NIIT University,he shares his insights on how universities can contribute to this highly promising sector and what aspirants can do to build a successful data science career.
Enroll in our Data Science with Python training in Chennai. Best Data Science with Python Training courses in Chennai for 100% Job Placements Support.
🔥Intellipaat Python for Data Science Course: https://intellipaat.com/python-for-data-science-training/In this python for data science video you will learn e...
Master Applied Data Science with Python and get noticed by the top Hiring Companies with IgmGuru's Data Science with Python Certification Program. Enroll Now