Reference library

Automation & scripting

CLI tools, scheduled jobs, filesystem tasks, and glue scripts that save time.

4 matches

Create ICS Calendar Invites in Python

This script generates a batch of calendar invites in the ICS format using the ics library.

import ics
from datetime import datetime, timedelta

def create_invites(batch):
    calendar = ics.Calendar()
    for event_data in batch:
        event = ics.Event()
        event.name = event_data["name"]
        event.begin = event_data["start"]
        event.end = event_data["end"]
        event.description = even…

11 0 Open

Automation & scripting medium

How to Generate Project Statistics Including Lines of Code and Complexity in Python

Walk through a Python script that scans a project directory for Python files, counts lines of code excluding blanks and comments, and estimates cyclomatic complexity by counting decision keywords.

code metrics lines of code cyclomatic complexity

Python

import os
from pathlib import Path

def count_lines_of_code(filepath):
    """Counts lines of code in a Python file, excluding blank lines and comments."""
    try:
        with open(filepath, 'r') as f:
            lines = f.readlines()
        code_lines = [line for line in lines if line.strip() and not line.strip()…

40 0 Open

Automation & scripting easy

How to Merge PDFs in Python (Mock pypdf Stub)

Merge PDF files by concatenating their raw byte content using a simple stubbed class that mimics the pypdf interface.

pdf merge mock

Python

import io
from hashlib import sha256


class PdfStub:
    def __init__(self, data: bytes, name: str):
        self.data = data
        self.name = name

    def get_content_bytes(self) -> bytes:
        return self.data


def merge_pdfs_mock(pdf_stubs) -> bytes:
    merged = io.BytesIO()
    for stub in pdf_stubs:
   …

14 0 Open

Automation & scripting medium

How to Track GitHub Stars, Forks, and Watchers in Python

Automatically fetch and track stars, forks, and watchers for multiple GitHub repositories, saving snapshots locally as JSON files for historical analysis.

github api automation

Python

import os
import time
import json
import requests
from pathlib import Path
from datetime import datetime

REPOS = [
    "psf/requests",
    "python/cpython",
    "pallets/flask",
]
DATA_DIR = Path("github_metrics")

def fetch_repo_stats(repo):
    url = f"https://api.github.com/repos/{repo}"
    resp = requests.get(ur…

39 0 Open

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