Introduction to Python Pandas

Are you interested in data analytics? Are you tired of splitting by commas to read from CSVs? Are you sick of Excel? Come to General Assembly to learn about Pandas, a Python library designed to make your data processing work easier.

Takeaways
By the end of the workshop, students will be able to use pandas to:

• Perform data analysis
• Read in data from csv
• Perform data munging on a dirty dataset
• Document and share their analysis via iPython notebooks
• Apply advanced pandas techniques such as grouping, aggregation and pivot tables

Prereqs & Preparation
Students must have taken Introduction to Python Programming or have equivalent foundational knowledge.

We will NOT be going through introductory Python. Here is an example exercise you should be able to do before taking this class: Write a function that prints all of the numbers between 1 and 10,000 that are either divisible by 7 or 33 but not both.

This class has some overlap with Python for Data Science. Students should take this class if they want to get a deeper exposure to Pandas.