Reference library

Files & data

Read and write files safely; parse JSON, CSV, and common text formats.

4 matches
Files & data easy

Automatically Detect Corrupted Files Using SHA-256 Checksums in Python

Compute SHA-256 checksums of files and compare them to detect corruption in Python.

checksum file-integrity hashlib
Python
import hashlib
import os

def compute_sha256(filepath: str) -> str:
    """Compute SHA-256 checksum of a file."""
    sha256 = hashlib.sha256()
    with open(filepath, 'rb') as f:
        for chunk in iter(lambda: f.read(4096), b''):
            sha256.update(chunk)
    return sha256.hexdigest()

def validate_file_int…
59 1 Open
Files & data medium

How to Compare Two Files by Content Hash Equality in Python

Compares two files by hashing their contents with SHA-256, skipping the hash if file sizes differ, and returns whether they are identical.

hashlib sha256 file-hashing
Python
import hashlib
from pathlib import Path

def file_hash(path: Path, chunk_size: int = 8192) -> str:
    sha256 = hashlib.sha256()
    with path.open("rb") as f:
        for chunk in iter(lambda: f.read(chunk_size), b""):
            sha256.update(chunk)
    return sha256.hexdigest()

def files_are_identical(file_a: Pat…
14 0 Open
Files & data easy

How to Compute File SHA256 Hash with hashlib in Python

Compute the SHA256 hash of a file by reading it in chunks with hashlib and Path.open.

hashlib sha256 file-hash
Python
import hashlib
from pathlib import Path

def sha256_file(file_path: Path) -> str:
    sha256_hash = hashlib.sha256()
    with file_path.open("rb") as f:
        for chunk in iter(lambda: f.read(4096), b""):
            sha256_hash.update(chunk)
    return sha256_hash.hexdigest()

if __name__ == "__main__":
    demo_fi…
16 0 Open
Files & data medium

How to Find Duplicate Files by Size and Hash in Python

Recursively scan a directory, group files by size, then hash candidates to identify exact duplicate files.

deduplication filesystem hashlib
Python
import hashlib
from pathlib import Path

def hash_file(path, chunk_size=8192):
    hasher = hashlib.md5()
    with open(path, 'rb') as f:
        while chunk := f.read(chunk_size):
            hasher.update(chunk)
    return hasher.hexdigest()

def find_duplicates(directory):
    size_map = {}
    for path in Path(dir…
17 0 Open

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