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Python Code Samples

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

124 matches
Strings & text easy

How to Generate Initials from a Full Name in Python

Extract and uppercase the first letter of each word in a full name to produce initials using standard string methods.

strings initialism text-processing
Python
def generate_initials(full_name):
    parts = full_name.strip().split()
    initials = ''.join(part[0].upper() for part in parts if part)
    return initials

if __name__ == "__main__":
    name = "john f. kennedy"
    print(generate_initials(name))
14 0 Open
Strings & text easy

How to Generate Text Helper Functions in Python

Three simple Python functions that repeat, join, and count characters in strings for beginners.

strings text-processing functions
Python
def repeat_text(text, times):
    """Repeat a string a given number of times."""
    return text * times


def join_words(words, separator=" "):
    """Join a list of words into a single string."""
    return separator.join(words)


def count_characters(text):
    """Count character occurrences in a string."""
    ret…
14 0 Open
Lists & loops easy

Generate Data Helper for Beginners in Python

Define two functions that create a random list of integers and then compute basic summary statistics like count, total, average, maximum, and minimum using simple loops.

random loops lists
Python
from random import randint

def build_dataset(size: int, max_val: int) -> list[int]:
    data = []
    for _ in range(size):
        data.append(randint(1, max_val))
    return data

def summarize(data: list[int]) -> dict[str, float]:
    total = 0
    maximum = data[0]
    minimum = data[0]
    for value in data:
   …
12 0 Open
Files & data medium

Create a Python Tool That Generates Professional Excel Dashboards

Generate a professional sales dashboard in an Excel workbook with styled headers, a bar chart, and formatted number cells using the openpyxl library.

openpyxl excel dashboard
Python
import openpyxl
from openpyxl.chart import BarChart, Reference
from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
from openpyxl.utils import get_column_letter

def create_sales_dashboard(workbook_path: str) -> None:
    """Generate a professional sales dashboard in an Excel workbook."""
    wb = op…
48 0 Open
Files & data easy

Generate Timesheet Reports from Daily Logs in Python

Aggregate daily log entries by project and produce a formatted timesheet report using Python's standard library.

timesheet reporting aggregation
Python
import json
from pathlib import Path
from collections import defaultdict

def generate_timesheet_report(daily_logs: list[dict]) -> str:
    """
    Generate a timesheet report from daily log entries.
    
    Args:
        daily_logs: List of dicts with 'date', 'project', 'hours', 'task' keys
    
    Returns:
       …
45 0 Open
Files & data medium

Generate a Beautiful Folder Tree Visualization in Python

A Python utility that creates a visual tree of a directory structure, excluding common files, with configurable depth.

folder tree directory visualization
Python
import os
from pathlib import Path

class FolderTree:
    def __init__(self, root_path=".", ignore_list=None, max_depth=3):
        self.root = Path(root_path)
        self.ignore = set(ignore_list or [".git", "__pycache__", ".DS_Store"])
        self.max_depth = max_depth
        
    def generate(self):
        tree…
67 0 Open
Files & data medium

Generate a Monthly Calendar PDF in Python

Create a Python utility that generates a monthly calendar PDF using ReportLab, with weekday headers and day numbers laid out in a grid.

calendar pdf reportlab
Python
from calendar import TextCalendar
from datetime import datetime
from reportlab.lib.pagesizes import letter
from reportlab.pdfgen import canvas
import os

def generate_monthly_calendar_pdf(year, month, filename="calendar.pdf"):
    cal = TextCalendar()
    days = cal.monthdays2calendar(year, month)
    
    month_name …
1767 0 Open
Files & data easy

How to Build a Dated Backup Filename with Timestamp in Python

Generate unique backup filenames with a timestamp using Python's datetime module and f-strings.

datetime backup filenames
Python
from datetime import datetime

def build_backup_filename(base_name: str, extension: str = "bak") -> str:
    """Generate a dated backup filename with timestamp."""
    timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
    return f"{base_name}_{timestamp}.{extension}"

if __name__ == "__main__":
    backup_file = bu…
12 0 Open
Files & data medium

How to Generate Beautiful QR Codes with Embedded Logos in Python

Generate a high-error-correction QR code and paste a logo image in the center to create a branded, scannable QR code.

qrcode qrcode-generation pillow
Python
import qrcode
from PIL import Image

def generate_qr_with_logo(data, logo_path, output_path):
    qr = qrcode.QRCode(
        version=1,
        error_correction=qrcode.constants.ERROR_CORRECT_H,
        box_size=10,
        border=4,
    )
    qr.add_data(data)
    qr.make(fit=True)

    qr_img = qr.make_image(fill_c…
52 0 Open
Files & data medium

How to Generate an Inventory Report of All Files in Python

Walk a directory tree, collect metadata for every file, and write a CSV inventory report using Python's os, pathlib, and csv modules.

os.walk pathlib csv
Python
import os
import csv
from pathlib import Path
from datetime import datetime

def generate_inventory_report(root_dir: str = "/", output_file: str = "inventory_report.csv"):
    headers = ["File Path", "Size (bytes)", "Last Modified", "File Type"]
    rows = []
    start_time = datetime.now()
    
    for dirpath, dirna…
48 0 Open
Algorithms & data structures easy

Generate Pascal's Triangle Rows in Python

Builds Pascal's triangle as a list of rows, where each inner value is the sum of the two values above it.

pascal-triangle dynamic-programming algorithms
Python
def generate_pascals_triangle(rows):
    triangle = []
    for row_num in range(rows):
        row = [1] * (row_num + 1)
        for col in range(1, row_num):
            row[col] = triangle[row_num - 1][col - 1] + triangle[row_num - 1][col]
        triangle.append(row)
    return triangle

if __name__ == "__main__":
…
14 0 Open
Algorithms & data structures easy

How to Build a Coordinate Grid with Nested Loops in Python

Generate a 2D list of (row, col) coordinate pairs using nested loops and return the grid structure.

coordinate grid nested loops 2d list
Python
def build_coordinate_grid(rows, cols):
    """Build a 2D grid of (row, col) coordinates using nested loops."""
    grid = []
    for r in range(rows):
        row = []
        for c in range(cols):
            row.append((r, c))
        grid.append(row)
    return grid


if __name__ == "__main__":
    grid = build_coo…
15 0 Open
Algorithms & data structures easy

How to Compute the Cartesian Product of Two Lists in Python

Generates all ordered pairs from two lists using itertools.product and prints each combination.

itertools cartesian-product combinations
Python
from itertools import product

# Two small input lists
list_a = [1, 2, 3]
list_b = ["x", "y"]

# Compute the Cartesian product
result = list(product(list_a, list_b))

# Display the result
print("Cartesian product of", list_a, "and", list_b, "is:")
for pair in result:
    print(pair)
15 0 Open
Algorithms & data structures easy

How to Generate Fibonacci Sequence in Python

Generate the first n Fibonacci numbers as a list using a simple iterative loop.

fibonacci sequences iteration
Python
def fibonacci(n):
    """Generate the first n terms of the Fibonacci sequence."""
    if n <= 0:
        return []
    seq = [0, 1]
    while len(seq) < n:
        seq.append(seq[-1] + seq[-2])
    return seq[:n]

if __name__ == "__main__":
    n = 10
    result = fibonacci(n)
    print(result)
13 0 Open
Algorithms & data structures easy

How to Generate Permutations of Length r in Python

Generate and print all r-length permutations of a list using Python's itertools.permutations.

permutations itertools combinations
Python
from itertools import permutations

def show_permutations(items, r):
    result = list(permutations(items, r))
    for perm in result:
        print(perm)
    print(f"Total: {len(result)}")

if __name__ == "__main__":
    data = ["A", "B", "C"]
    show_permutations(data, 2)
15 0 Open
Algorithms & data structures easy

How to Generate a Geometric Progression List in Python

This Python function builds a list of n terms in a geometric progression, starting with a given first term and multiplying by a constant ratio at each step.

geometric-progression sequence algorithms
Python
def geometric_progression(first_term, ratio, count):
    """
    Generate a list of 'count' terms in a geometric progression
    starting with 'first_term' and multiplied by 'ratio' each step.
    """
    progression = []
    current = first_term
    for _ in range(count):
        progression.append(current)
        c…
13 0 Open
Algorithms & data structures medium

How to Generate a Power Set in Python with Bitmasks

Generate the power set of a small list using a bitmask approach, producing all possible subsets.

bitmask power set subset generation
Python
def power_set(items):
    """Generate the power set of a list using bitmask approach."""
    n = len(items)
    result = []
    
    for mask in range(1 << n):
        subset = []
        for i in range(n):
            if mask & (1 << i):
                subset.append(items[i])
        result.append(subset)
    
    r…
14 0 Open
Algorithms & data structures easy

How to Generate an Arithmetic Progression List in Python

Generates a list of terms in an arithmetic progression using a list comprehension.

arithmetic list-comprehension sequences
Python
def generate_ap(start, difference, count):
    """Generate a list of n terms in an arithmetic progression."""
    return [start + i * difference for i in range(count)]


if __name__ == "__main__":
    ap = generate_ap(3, 5, 6)
    print(ap)
14 0 Open
Algorithms & data structures easy

How to Get All Combinations of a List in Python

Generate and display all combinations of a given length from a list using Python's itertools.combinations.

itertools combinations list
Python
from itertools import combinations

def list_combinations(items, r):
    """Return all combinations of length r from a list."""
    return list(combinations(items, r))

if __name__ == "__main__":
    fruits = ["apple", "banana", "cherry", "date"]
    pick = 2
    result = list_combinations(fruits, pick)
    
    print…
12 0 Open
Comprehensions & generators easy

Count Data in Python with Comprehensions and Generators

Count list items with a dict comprehension and generate squares lazily with a generator expression, printing both results.

comprehensions generators counter
Python
from collections import Counter

data = ["apple", "banana", "apple", "cherry", "banana", "apple"]

counts = {item: data.count(item) for item in set(data)}

square_gen = (x * x for x in range(5))
squares = list(square_gen)

if __name__ == "__main__":
    print("Manual count:", counts)
    print("Counter:", dict(Counter…
14 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

Generate UUID4 Values with a Python Generator

This code defines a generator function that yields mock UUID4 values, allowing you to stream unique identifiers one at a time.

uuid generators streaming
Python
import uuid

def generate_uuids(count=5):
    """Generate a stream of mock UUID4 values."""
    for _ in range(count):
        yield uuid.uuid4()

if __name__ == "__main__":
    # Generate and print 5 UUIDs
    for uid in generate_uuids(5):
        print(uid)
15 0 Open
Comprehensions & generators easy

How to Generate Cartesian Product Combinations in Python

Use itertools.product to generate every combination across multiple iterables, a pattern common for product variant generation.

itertools cartesian product combinations
Python
from itertools import product

def generate_cartesian_combinations(*iterables):
    """Generate all Cartesian product combinations of given iterables."""
    return list(product(*iterables))

if __name__ == "__main__":
    colors = ["red", "green", "blue"]
    sizes = ["S", "M", "L"]
    styles = ["t-shirt", "hoodie"]…
13 0 Open
Comprehensions & generators easy

How to Generate Combinations with Replacement in Python

Generate all r-length combinations with repetition from a list using the standard library itertools.combinations_with_replacement function.

itertools combinations generator
Python
from itertools import combinations_with_replacement

items = ['A', 'B', 'C']
r = 2

combos = list(combinations_with_replacement(items, r))

for combo in combos:
    print(combo)

if __name__ == "__main__":
    print(f"Total combinations with replacement: {len(combos)}")
11 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.