Fundamentals 4 min read

How to Compute Min, Max, and Average in Python with Simple Code

This article walks through a Python tutorial that generates a random list, sorts it, and calculates the minimum, maximum, sum, and average values, providing clear explanations, code snippets, and output screenshots for readers to follow along.

Python Crawling & Data Mining
Python Crawling & Data Mining
Python Crawling & Data Mining
How to Compute Min, Max, and Average in Python with Simple Code

Introduction

Hello, I'm a Python enthusiast. Yesterday a community member asked a basic Python question about calculating statistics such as the average.

Solution

The idea is to use the definition of average; the code below generates a random list, sorts it, and computes the minimum, maximum, sum, and average.

Another contributor offered an alternative approach.

Final implementation:

import random
data = random.choices(range(1, 20), k=10)
new_data = sorted(data)
the_min = new_data[0]
the_max = new_data[-1]
the_sum = 0
for i in data:
    the_sum += i
the_average = the_sum / len(data)
print(f'生成的随机列表是{data}
排序后的列表是{new_data}
最小值是{the_min},最大值是{the_max},和是{the_sum},平均值是{the_average}')

Running the script produces the expected results.

The problem required sorting, so using sorted is acceptable.

Conclusion

The article demonstrates how to solve a typical Excel‑style data‑processing task in Python, providing clear explanation and complete code for readers to apply.

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data-processingstatisticsCode Tutorialaverage
Python Crawling & Data Mining
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Python Crawling & Data Mining

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