From the course: Complete Guide to Analytics Engineering

Unlock this course with a free trial

Join today to access over 24,900 courses taught by industry experts.

The pandas Python library

The pandas Python library

From the course: Complete Guide to Analytics Engineering

Start my 1-month free trial Buy for my team

The pandas Python library

“

- [Instructor] One reason Python is one of the most popular programming languages in the world is because of its robust packaged library. Just like how you can check out a library book at a local library, you can import and use a Python library to perform common actions needed in analytics engineering. For example, let's say you want to take our salesdata.CSV and remove a column from the file. In another programming language, you might have to write a function from scratch that can edit a CSV, but in Python, we can use the Pandas library, which already has a drop function that you can use to remove a column from the CSV. Pandas might be the most important Python library to learn as it lets you visualize data, alter data, join data together, et cetera. If you need to make any changes to data at all in Python, Pandas is probably the most ubiquitous solution. Let's jump back into code spaces and create a new script. Click the new file button in the file explorer. Let's name this…

Contents