MICRO-COURSE

Performance and resource benchmarking

Performance and resource benchmarking in NumPy. Investigate performance and resource benchmarking using a repeatable NumPy experiment; compare results with a baseline and record limitations. Keep the exercise bounded and record the behavior supported by the chosen version.

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01 / WATCH

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02 / UNDERSTAND

Start with the topic guide.

This NumPy micro-course focuses on Performance and resource benchmarking. The practice brief below is available while the full tutorial is prepared.

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Practice brief

Investigate performance and resource benchmarking using a repeatable NumPy experiment; compare results with a baseline and record limitations. Keep the exercise bounded and record the behavior supported by the chosen version.

Evidence to produce

Repeatable experiment and comparison

03 / TRY IT