Today we're solving the Day 27 Project for 30 Days Of Python. 30 Days Of Python is a free, comprehensive series of blog posts and videos we're publishing over in our blog!

30 Days Of Python: python30.com/

Today we're learning about the pandas library, and using it to analyse some Avocado data from Kaggle. We'll learn about DataFrames and how to use them to extract useful information by filtering, grouping, and calculating within them!

Remember to try the project first before watching the solution walkthrough, link below!

-- Links mentioned in the video --

Day 27 post: blog.tecladocode.com/python-30-day-27-local-develo…

Day 27 project brief: blog.tecladocode.com/python-30-day-27-project/

Data set used in this video: www.kaggle.com/neuromusic/avocado-prices/

Final code for this project: repl.it/@tecladocode/30DaysOfPython-Day27-Project

Discord server: discord.gg/78Nvd3p

Twitter: twitter.com/tecladocode