Python classes can make your code more complicated than necessary. So when should you use classes, and when should you use standard functions instead?

This article rounds up some of the most valuable free data science courses offered by top institutions like Harvard, IBM, and ...

Python 3.7's dataclasses reduce repetition in your class definitions. Newcomers to Python often are surprised by how little code is required to accomplish quite a bit. Between powerful built-in data ...

This course is a great way to go from zero to hero in Python. It’s packed with 22 hours of video material, plus coding ...

It is a handy tool for keeping a record of data explorations, creating charts, styling text and sharing the results of that work. For data analysis, the cornerstone package in Python is “Pandas”.

Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job.