3 Cool Things You Can Do With Python Standard Library
Enhance the power of third-party libraries.
Third-party libraries play a crucial role in making Python the predominant choice in data science. From cleaning raw data to building advanced machine learning pipelines, you can find a Python library for simplifying tasks and thus facilitating development processes.
In the midst of this rich selection of libraries, we sometimes overlook the built-in functionalities of Python, which is also known as Python Standard Library.
Python’s built-in functions and methods serve quite well for data-related tasks. We actually use some of them a lot such as len , range , and sorted . In this article, we’ll mention some of the built-in functions and learn about 3 cool things we can do with them.
1. String module for data cleaning
The string module has several functions to do common string operations. I mainly use them for data cleaning.
Textual data can sometimes be really dirty and require lots of cleaning and processing to be useful for downstream processes.
Consider a case where you need to remove punctuations from text. There are different ways of doing it but it’s quite simple with the maketrans method. It returns a translation table, which can…
