In this episode of PyPod Chronicles, we break down how these two tools work together and share practical tips you can use right away.
You’ll hear about tried-and-true best practices, real-world examples, and techniques that make analyzing data faster and easier.
Whether you're looking to speed up your queries or build applications that can handle larger datasets, this episode has everything you need to level up your workflow.
Tune in for another episode of PyPod Chronicles!
I’ve linked the latest episode of Code with Josh below, What is the Python Walrus Operator?
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Python + SQL for Data Analysts: Best Practices to Supercharge Your Workflow
Let’s be honest—these days, nearly every decision worth its salt is powered by data. It’s the backbone of smart choices in businesses, research, and even everyday life.
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🎬 What is the Python Walrus Operator?
Over on Code with Josh ~ HERE
Here are some resources:
👉 Get my Python & Git Guide ~ Python PDF Guide
📚 Books I’ve Found Helpful:
Python Crash Course - Here
Automate the Boring Stuff - Here
Data Structures and Algorithms in Python - Here
Python Pocket Reference - Here
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Thank you for taking the time to listen to this week’s episode!
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