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Files & data

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

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Files & data easy

Compress and Extract ZIP Files Programmatically in Python

Create a ZIP archive with in-memory files and extract its contents to a directory using Python's stdlib zipfile and pathlib modules.

zip compression file-io
Python
import zipfile
from pathlib import Path
import tempfile
import os

def create_sample_zip(zip_path: str, files: dict) -> None:
    """Create a ZIP file containing the given files (name -> content mapping)."""
    with zipfile.ZipFile(zip_path, 'w', zipfile.ZIP_DEFLATED) as zf:
        for filename, content in files.ite…
53 0 Open
Files & data easy

Convert CSV Files to JSON in Python

Convert a CSV file to a JSON file using Python's built-in csv and json modules.

csv json conversion
Python
import csv
import json

def csv_to_json(csv_filepath, json_filepath):
    """Convert a CSV file to a JSON file."""
    with open(csv_filepath, mode='r', newline='') as csv_file:
        reader = csv.DictReader(csv_file)
        data = [row for row in reader]

    with open(json_filepath, mode='w') as json_file:
      …
43 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:
       …
18 0 Open
Files & data easy

Split CSV Files into Smaller Chunks in Python

Splits a large CSV file into multiple smaller chunk files, preserving the header row in each chunk.

csv file-splitting batch-processing
Python
import csv
import os

def split_csv(input_file, chunk_size=1000, output_prefix="chunk"):
    """Split a large CSV file into smaller chunks."""
    with open(input_file, 'r', newline='') as infile:
        reader = csv.reader(infile)
        header = next(reader)
        
        file_count = 1
        row_count = 0
  …
23 0 Open

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