Reference library

Python Code Samples

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

2 matches
Files & data medium

How to Atomically Write Files in Python with Temp File and Rename

Write a file atomically using a temporary file and os.replace so readers never see partial writes even if the process crashes mid-write.

atomic-write tempfile fsync
Python
import os
import tempfile
from pathlib import Path

def atomic_write(path: str | Path, content: str) -> None:
    """Write content to path atomically using a temp file and rename."""
    path = Path(path)
    path.parent.mkdir(parents=True, exist_ok=True)

    fd, temp_path = tempfile.mkstemp(
        dir=str(path.par…
17 0 Open
Automation & scripting easy

Benchmark Disk Write Speed in Python with tempfile

Benchmark raw disk write performance by writing a temporary file in 1MB chunks and measuring throughput in MB/s.

benchmark tempfile performance
Python
import os
import tempfile
import time

def benchmark_write(size_mb=50):
    size_bytes = size_mb * 1024 * 1024
    chunk = b'x' * 1024 * 1024  # 1 MB chunk

    with tempfile.NamedTemporaryFile(delete=True) as tmp:
        start = time.perf_counter()
        written = 0
        while written < size_bytes:
            …
12 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.