This week, we trace the lineage of DataFrames from their humble beginnings in spreadsheets and databases to their current state as powerful, feature-rich libraries capable of handling massive datasets with ease. What’s behind the rise of DataFrames and how is Exaloop pushing the boundaries of what's possible in data processing?

Phil Kealbling is a founding engineer at Exaloop, and he joins Pete Wright with the history, evolution, and advancements in this essential tool for data manipulation.

Links & Notes

• Connect with Phil on LinkedIn
• Wes McKinney's Blog: He's the pandas original creator, his blog has a lot of cool insights into how pandas works and how data processing in Python can look in the future. Great reading for people interested in learning more about how pandas works specifically and how python data analysis works as a whole.
• Corey Shafer's YouTube series: Corey makes great introductions and tutorials for a variety of big and otherwise potentially intimidating python libraries. I've made extensive use of his Flask tutorial, and his pandas one is a great way to start diving into using dataframes yourself