NumPy Essentials: Fast-Track Numerical Computing in Python | Episode #82

Happy Holidays to you all wherever you may be in the world! I hope this time the year is spent with your loved ones and you are enjoying some much needed R&R.

In this episode of PyPod Chronicles, we break down how to get really good at using NumPy, the go-to tool for crunching numbers and working with data in Python.

I’ll show you how to speed up your calculations, make your machine learning projects run smoother, and work with big datasets without the headache.

Tune in for another episode of PyPod Chronicles!

I’ve linked the latest episode of Code with Josh below, Streamlit: The Best Way to Build Python Apps?

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🎬 Streamlit: The Best Way to Build Python Apps?

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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