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Python Code Samples

Copy-ready Python snippets by topic and difficulty — short, focused, and runnable in the browser editor.

2 matches
Lists & loops easy

How to Normalize a List of Numbers to the 0-1 Range in Python

Scale a list of numbers so the minimum becomes 0 and the maximum becomes 1 using min-max normalization.

normalization lists data-science
Python
def min_max_normalize(values):
    """Normalize a list of numbers to the [0, 1] range."""
    if not values:
        return []
    min_val = min(values)
    max_val = max(values)
    if min_val == max_val:
        return [0.0] * len(values)
    return [(x - min_val) / (max_val - min_val) for x in values]


if __name__…
12 0 Open
A/B testing & experimentation medium

How to Perform Welch's t-Test in Python

Calculate the Welch t-statistic and degrees of freedom for two samples with unequal variances using Python's statistics module.

statistics t-test hypothesis-testing
Python
import math
from statistics import mean, variance


def welch_t_test(sample1, sample2):
    n1, n2 = len(sample1), len(sample2)
    mean1, mean2 = mean(sample1), mean(sample2)
    var1, var2 = variance(sample1), variance(sample2)

    # Welch's t statistic
    t_stat = (mean1 - mean2) / math.sqrt(var1 / n1 + var2 / n2…
14 0 Open

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Guide: free Python code samples library

Copy-ready Python snippets for learners and developers

PythonSkillset code samples are short, focused examples organised by topic and difficulty. Every snippet is server-rendered HTML — readable by search engines and easy to copy. Open any sample, read the notes, copy the code, then press Try in editor to run it in the browser with Pyodide.

How to use this library

  1. Pick a topic section — strings, lists, files, functions, and more
  2. Open a sample, read How it works, and copy the code block
  3. Run it in the IDE, tweak values, then take a related quiz or tutorial lesson

Samples vs tutorials and challenges

Samples are quick reference — one concept per page. For step-by-step teaching, use our Python tutorials. To test yourself, try quizzes or coding challenges. Clean up style with the Python formatter.