In this episode of PyPod Chronicles, I'll show you how to easily bring SQL data into Pandas, clean it up for analysis, and create helpful visualizations.
It's perfect for data analysts, Python devs, or anyone wanting to get better at data analysis. Now we can blend SQL with Pandas to create a Dataframe, working with databases has never been this easy.
Tune in for another episode of PyPod Chronicles!
I’ve linked the latest episode of Code with Josh below, The Right Way to Debug Applications!
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The series below is my new SQL in Python series and breaks it all down with real world code examples for you to follow along with, I pour a ton of time weekly into creating content to help you all grow in the crazy world of Python and beyond.
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How to Import SQL Data into Pandas: Step-by-Step Guide for Data Analysis
At this point you know that data comes in abundance. However, it often exists in databases, making it crucial for data analysts to know how to extract, clean, and analyze that data effectively.
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🎬 Quit Using Print: The Right Way to Debug Applications
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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