This is a continuation of “Step 1: Basic Syntax and Data Types”.

This is a continuation of “Step 1: Basic Syntax and Data Types”.

I’ve created EasyBench, a benchmarking library that makes it easy to measure execution time of Python functions.

Motivation

Python already has a standard library called timeit.
However, when actually using it, I encountered the following issues:

1. Code needs to be input as strings
2. While there is a setup functionality, it only executes once before the overall process begins,
   and there’s no feature to perform setup immediately before each trial without including it in the measurement time

I was recently writing an introductory Python article and wanted to explain computational complexity by measuring actual execution times to give readers a tangible experience.
However, due to the constraints above, I couldn’t measure as precisely as I wanted,
which led me to develop EasyBench as a more flexible library.

This is a continuation of “Step 1: Basic Syntax and Data Types”.

This is a continuation of “Step 1: Basic Syntax and Data Types”.

This is a continuation of “Step 1: Basic Syntax and Data Types”.