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Files & data

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

3 matches
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

How to Parse NDJSON Lines into a List in Python

Reads a JSON-lines (NDJSON) file line by line and converts each non-empty line into a Python object, returning a list.

json ndjson file-io
Python
import json
from pathlib import Path


def parse_ndjson(file_path: str) -> list:
    data = []
    with Path(file_path).open("r", encoding="utf-8") as f:
        for line in f:
            line = line.strip()
            if line:
                data.append(json.loads(line))
    return data


if __name__ == "__main__"…
12 0 Open
Files & data easy

How to Serialize a Python Object to Pickle Bytes in Memory

Serialize a Python object to pickle bytes in memory with pickle.dumps, then deserialize it back with pickle.loads and verify the roundtrip.

pickle serialization bytes
Python
import pickle

class Person:
    def __init__(self, name, age, skills):
        self.name = name
        self.age = age
        self.skills = skills

def main():
    person = Person("Alice", 30, ["Python", "SQL", "Docker"])
    
    # Serialize to bytes in memory
    pickle_bytes = pickle.dumps(person)
    
    print(…
16 0 Open

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