If you work with data science in Python you have likely worked with the pandas data manipulation library. It’s has a large set of methods useful for numerous tasks and getting familiar with them can make your code more efficient, effective and readable. In this article, Jacob Ferus explains how to use the query() and eval() functions, which are powerful methods that can make your pandas code simpler and more readable. With examples and clear explanations, you will learn how to use these functions to get more out of your pandas data manipulation. Whether you are a beginner or a seasoned data scientist, this article is a must-read for anyone looking to level up their pandas skills. Follow Jacob Ferus on Medium for more insightful articles on data science and creative problem solving.
