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NumPy Crash Course

Learn about NumPy arrays and manipulate data stored inside of them.
Izzy Weber
Izzy Weber

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If you want to use Python for number crunching, you should get to know NumPy!

This gentle introduction to NumPy will show you the basics of NumPy and explore why NumPy is so ubiquitous. Using DataLab, you’ll get to know NumPy arrays and manipulate data stored inside of them.

By the end of the session, you’ll be looking at examples of how 3-D NumPy arrays can store image data! This session will run for 75 minutes, allowing you time to immerse yourself in the subject, and includes short breaks and opportunities to ask questions throughout the training.

Key takeaways

  • Learn the basics of NumPy: what is an array and why is it useful?

  • What sets NumPy apart? Speed and n-dimensional data!

  • Get excited about NumPy possibilities with cool NumPy applications like manipulating image data

주제

Data SciencePythonData Scientist

관련

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Python Arrays

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Python Numpy Array Tutorial

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