17 Strategies for Dealing with Data, Big Data, and Even Bigger Data
Tips and libraries to speed up your Python code
Published in
8 min readAug 23, 2020
Dealing with big data can be tricky. No one likes out of memory errors. ☹️ No one likes waiting for code to run. ⏳ No one likes leaving Python. 🐍
Don’t despair! In this article I’ll provide tips and introduce up and coming libraries to help you efficiently deal with big data. I’ll also point you toward solutions for code that won’t fit into memory. And all while staying in Python. 👍
