9.2 NumPy and Pandas

NumPy handles fast number crunching. Pandas handles tables of data like a supercharged spreadsheet.

Chapter 9: Tools and Technologies for AI

NumPy gives Python fast arrays and maths. Instead of looping through a million numbers one by one, NumPy does the whole thing at once - way faster. Most other AI libraries are built on top of it.

Pandas gives you the DataFrame: a table with rows and columns, like Excel but in code. You can load a CSV file, filter rows, fill missing values and calculate stats in a line or two.

Together they're the bread and butter of data prep - remember, that's most of the work in AI.

Key takeaways

NumPy = fast arrays and maths

Pandas = DataFrames (tables in code)

Both are essential for data prep

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1.4 Goals and Objectives of AI
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1.6 Real-World Applications of AI
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9.1 Introduction to Python for AI
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9.4 Scikit-learn
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