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Files & data

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

8 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…
57 1 Open
Files & data medium

Calculate Working Hours Between Two Dates in Python

Compute total business hours (Mon-Fri, 09:00-17:00) between two datetime objects, excluding weekends and non-working hours.

datetime working hours business hours
Python
from datetime import datetime, timedelta

def work_hours_between(start: datetime, end: datetime) -> float:
    """Calculate total working hours between two datetimes (Mon-Fri, 09:00-17:00)."""
    def is_workday(d: datetime) -> bool:
        return d.weekday() < 5
    
    total_hours = 0.0
    current = start
    whi…
49 0 Open
Files & data easy

Detect Outliers in CSV Data Using Z-Score in Python

Read a CSV file and detect outliers in a numeric column by computing z-scores, flagging those exceeding a given threshold — no machine learning required.

outlier-detection z-score csv
Python
import csv
import statistics
from math import sqrt

def detect_outliers(csv_path, column_name, threshold=2.0):
    """Detect outliers in a numeric column using z-score method."""
    values = []
    with open(csv_path, 'r', newline='') as f:
        reader = csv.DictReader(f)
        if column_name not in reader.field…
50 0 Open
Files & data easy

Extract a Single Member from a ZIP Archive in Python

Extract one specific file from a ZIP archive to an output directory using the standard zipfile and pathlib modules.

zipfile zip extraction
Python
import zipfile
from pathlib import Path

def extract_single_member(zip_path: str, member_name: str, output_dir: str = ".") -> Path:
    """Extract a single member from a zip archive to the output directory."""
    with zipfile.ZipFile(zip_path, "r") as archive:
        archive.extract(member_name, output_dir)
    retu…
19 0 Open
Files & data medium

Find Duplicate Web Pages by Content Similarity in Python

Compute SHA-256 hashes of file contents to detect and report duplicate HTML pages or any files in a directory.

duplicate-detection hashing sha256
Python
import hashlib
import os
from collections import defaultdict

def get_file_hash(filepath):
    """Compute SHA-256 hash of file contents."""
    sha256 = hashlib.sha256()
    with open(filepath, 'rb') as f:
        for chunk in iter(lambda: f.read(4096), b''):
            sha256.update(chunk)
    return sha256.hexdiges…
47 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 Merge Sorted Chunk Files in Python

Merge multiple sorted text files into one sorted output file using a heap for efficient k-way merging.

heapq merge-sort external-sort
Python
import heapq


def merge_sorted_chunks(chunks, output_path):
    """Merge multiple sorted iterables into single sorted output file."""
    with open(output_path, "w") as out_f:
        # Open all chunk files
        handles = [open(chunk, "r") for chunk in chunks]
        try:
            # Heap of (value, index) tupl…
14 0 Open
Files & data medium

Join two CSV files on shared key column in Python

Merge rows from two CSV files by a common key column, outputting combined records to a new file.

csv join dictreader
Python
import csv

def join_csv(file1, file2, key, output="joined.csv"):
    # Read first CSV into dict keyed by the join column
    with open(file1, newline="") as f1:
        reader1 = csv.DictReader(f1)
        data1 = {row[key]: row for row in reader1}

    # Read second CSV and merge matching rows
    with open(file2, n…
15 0 Open

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