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Python Code Samples

Easy snippets you can copy, study, and run in the browser editor.

2 matches
Data pipelines & processing easy

Union Multiple DataFrames with Aligned Columns in Python

Concatenate DataFrames with different columns, aligning them and filling missing values with NaN using pandas concat.

pandas dataframes concat
Python
import pandas as pd
from io import StringIO

# Sample dataframes with different columns
df1 = pd.DataFrame({
    'id': [1, 2, 3],
    'name': ['Alice', 'Bob', 'Charlie'],
    'age': [25, 30, 35]
})

df2 = pd.DataFrame({
    'id': [4, 5],
    'name': ['Diana', 'Eve'],
    'city': ['NYC', 'LA']
})

df3 = pd.DataFrame({
…
14 0 Open
ML engineering pipelines easy

Build a Data Helper Class in Python for ML Pipelines

A beginner-friendly Python class that summarizes, filters, and exports ML dataset rows as JSON.

data-helper ml-pipeline json
Python
from typing import List, Dict, Any
import json

class DataHelper:
    """Beginner-friendly helpers for ML data pipelines."""
    
    def __init__(self, data: List[Dict[str, Any]]):
        self.data = data
        self.keys = list(data[0].keys()) if data else []
    
    def summary(self) -> Dict[str, Any]:
        "…
15 0 Open

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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.