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%timeit magic

As explained in Pandas Workout: 200 exercises to make you a stronger data analyst

A timeit magic command is a Jupyter/IPython command that repeatedly executes code and reports its execution time.

%timeit is a Jupyter/IPython command for repeatedly executing one line of code and reporting its mean execution time and observed variation. It automatically adjusts the number of loops: very fast code runs many times, while slower code runs fewer. section 12.10

Use the command with these practical rules:

  • Write the timed expression on the same line as %timeit; add parentheses when calling a function. section 12.10
  • Wrap multiline code in a function, or use %%timeit to time an entire cell. section 12.10
  • Compare equivalent pandas operations such as loc, query, isin, and eval while remembering that timings vary between runs. section 12.10

Compare filtering strategies

After loading a parking-ticket DataFrame, time equivalent filters for New York, New Jersey, and Connecticut with loc, query, or isin. Extend the comparison by adding plate type, color, curb distance, and vehicle make conditions. section 12.10

How Pandas Workout: 200 exercises to make you a stronger data analyst covers it

How deep it goes
Explains repeated execution, adaptive loop counts, variation, and single-line versus cell syntax, but not timing internals.
Examples
Times function calls and equivalent parking-ticket filters using loc, query, isin, and eval.
What it assumes
Assumes familiarity with Jupyter cells, Python function calls, and pandas filtering expressions.
What you can do after
Diagnose/debug with it: compare alternative implementations by measured execution time and observed variation.
How it connects
Connects Jupyter/IPython, the timeit module, pandas loc, query, isin, and eval.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Pandas Workout: 200 exercises to make you a stronger data analyst. The section links point to the parts of the book it draws on.