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Python Code Samples

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

3 matches
Functions & basics easy

How to Load a .env File Manually in Python

Parse a .env-style key-value file into a Python dictionary using only the standard library, with comment and quoted-value handling.

dotenv environment-variables file-parsing
Python
import re
from pathlib import Path


def load_dotenv_file(filepath: str) -> dict[str, str]:
    """Parse a .env-style file into a dictionary."""
    env = {}
    path = Path(filepath)

    if not path.exists():
        raise FileNotFoundError(f"Environment file not found: {filepath}")

    for line in path.read_text()…
13 0 Open
Files & data medium

Extract Hyperlinks from Word Documents in Python

Parses a .docx file using Python's standard library to extract every hyperlink's display text and target URL.

docx hyperlinks xml
Python
import zipfile
from pathlib import Path
import xml.etree.ElementTree as ET

def extract_hyperlinks_from_docx(filepath: str) -> list[dict]:
    """
    Extract all hyperlinks from a .docx file.
    Returns a list of dicts with 'text' and 'target' keys.
    """
    hyperlinks = []
    with zipfile.ZipFile(Path(filepath)…
88 0 Open
Automation & scripting easy

How to Import Users from CSV into LDAP-like Dicts in Python

Reads a CSV of user records and converts each row into an LDAP-style dictionary with standard attributes using Python's csv module.

csv ldap import
Python
import csv
import io
from pathlib import Path


def mock_ldap_import(csv_path):
    """
    Reads a CSV file with user data and returns a list of LDAP-like user dicts.
    Adds standard LDAP attributes that would come from directory schema.
    """
    with open(csv_path, newline="", encoding="utf-8") as csvfile:
    …
13 0 Open

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  3. Run it in the IDE, tweak values, then take a related quiz or tutorial lesson

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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.