How to Learn Pandas

In this post, I will outline a strategy to ‘learn pandas’. For those who are unaware, pandas is the most popular library in the scientific Python ecosystem for doing data analysis. Pandas is capable of many tasks including:

• Reading/writing many different data formats
• Selecting subsets of data
• Calculating across rows and down columns
• Finding and filling missing data
• Applying operations to independent groups within the data
• Reshaping data into different forms
• Combing multiple datasets together
• Advanced time-series functionality
• Visualization through matplotlib and seaborn

Become an Expert

If you want to be trusted to make decisions using pandas, you must become an expert. I have completely mastered pandas and have developed special techniques that will massively improve your ability and efficiency to do data analysis.

• Master Data Analysis with Python — My comprehensive course with 800+ pages, 500+ exercises, multiple projects, detailed solutions, and video solutions that will help you become a pandas expert.
• Get a sample of the material by enrolling in the FREE Intro to Pandas course.

Continuing

Although pandas is very capable, it does not provide functionality for the entire data science pipeline. Pandas…