NumPy and Pandas - two libraries that make data analysis in Python as easy as 1-2-3... or maybe even A-B-C, if you like your data alphabetized. But what’s the difference between them? That’s what we’ll look at in this video with some code examples. NumPy and Pandas are both open-source Python libraries that make it easy for data scientists to work with large and complex datasets.
NumPy, short for Numerical Python, provides efficient operations on arrays and matrices of data, while Pandas is short for.. well that’s not so clear. Pandas provides user-friendly data structures and functions for data manipulation and analysis.
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