Reference library

Python Code Samples

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

6 matches
Comprehensions & generators easy

Convert Data in Python with Comprehensions and Generators

Convert mixed data to integers, filter and transform numbers, and extract fields from dicts using list comprehensions and generator expressions.

comprehensions generators list-comprehension
Python
def convert_numbers(data):
    """Convert a list of mixed values into integers using a comprehension."""
    return [int(item) for item in data if item is not None]


def double_even_numbers(numbers):
    """Double only even numbers using a generator expression."""
    return (n * 2 for n in numbers if n % 2 == 0)


d…
15 0 Open
Comprehensions & generators easy

Generate Data with Python Comprehensions and Generators

Shows list, dict compregensions and generator expressions plus a Fibonacci generator to produce data lazily.

comprehensions generators lazy-evaluation
Python
# Data generation helpers using comprehensions and generators
from itertools import islice


def fibonacci(limit):
    """Generate Fibonacci numbers up to a limit."""
    a, b = 0, 1
    while a <= limit:
        yield a
        a, b = b, a + b


def main():
    # List comprehension: squares of even numbers
    square…
15 0 Open
Comprehensions & generators easy

How to Parse Data with Generators and Comprehensions in Python

This code demonstrates using a generator expression to filter active users and a dictionary comprehension to aggregate scores by name.

generator expressions dictionary comprehensions filtering
Python
def parse_data_helper(raw_records):
    """Extract active users' names and scores from raw records."""
    parsed = (
        (record["name"], record["score"])
        for record in raw_records
        if record["active"] and record["score"] >= 0
    )
    return list(parsed)


def aggregate_scores(parsed_data):
    "…
15 0 Open
Comprehensions & generators easy

How to Use Comprehensions and Generators in Python

Demonstrate list, set, and dictionary comprehensions plus generator expressions and generator functions in one beginner-friendly script.

comprehensions generators yield
Python
def demonstrate_comprehensions_generators():
    # List comprehension: transform and filter in one line
    numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
    squares = [num ** 2 for num in numbers if num % 2 == 0]
    print(f"Square of even numbers (list comprehension): {squares}")

    # Set comprehension: unique values
…
15 0 Open
Comprehensions & generators easy

Python Comprehensions and Generators for Beginners

Learn list, dict, and set comprehensions plus generator expressions and generator functions with clear, runnable examples.

comprehensions generators lazy-evaluation
Python
# Demonstrates list comprehensions, dict comprehensions, set comprehensions, and generators

def demonstrate_comprehensions():
    # List comprehension: squares of even numbers
    numbers = range(1, 11)
    even_squares = [n ** 2 for n in numbers if n % 2 == 0]
    
    # Dict comprehension: number to its factorial
 …
15 0 Open
Comprehensions & generators easy

Write Data Helpers with Comprehensions and Generators in Python

Demonstrates list, dict, and set comprehensions plus generator expressions and generator functions for building concise data helpers.

comprehensions generators data-helpers
Python
# Basic comprehensions and generators demo

# List comprehension: squares of evens
squares = [x * x for x in range(10) if x % 2 == 0]
print("List comp:", squares)

# Dictionary comprehension: char -> count
text = "hello"
char_counts = {c: text.count(c) for c in set(text)}
print("Dict comp:", char_counts)

# Set compre…
10 0 Open

Browse by section

Each section groups closely related Python snippets.

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.