As a data scientist, you’re no stranger to the power of Python.
From data wrangling to machine learning, Python has become the de facto language for data science. But are you taking advantage of all the features that Python has to offer?
In this article, we’ll take a deep dive into 12 Python features that every data scientist should know.
From comprehensions to data classes, these features will help you write more efficient, readable, and maintainable code.
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Python F-strings Tricks You Should Know
Stop doing print(f”variable = {variable}”)
1. Comprehensions
Comprehensions in Python are a useful tool for machine learning and data science tasks as they allow for the creation of complex data structures in a concise and readable manner.