54% of the respondents of the latest O'Reilly Data Science Salary Survey indicated that they used Python as a data science tool. This is a small increase in comparison to the results of the 2015 survey, where 51% of the respondents indicated to use Python.

Nobody can deny that Python has been on the rise in the data science industry and it certainly seems that it's here to stay.

This rise in popularity in the industry, the long gone infancy of Python packages for data analysis, the low and gradual learning curve and the fact that it is a fully fledged programming language are only a couple of reasons that make Python an exceptional tool for data science.

Although Python is a very readable language, you might still be able to use some help.

That's enough reason for DataCamp to make a Python cheat sheet for data science, especially for beginners. It can serve as a quick reference for those of you who are just beginning their data science journey or it can serve as a guide to make it easier to learn about and use Python.

This cheat sheet is free additional material that complements DataCamp's Intro to Python for Data Science course, where you learn by doing.

(Above is the printable version of this cheat sheet)

This Python cheat sheet will guide you through variables and data types, Strings, Lists, to eventually land at the fundamental package for scientific computing with Python, Numpy.