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Python nuggets
7 nuggets found
Network SIEM: Wazuh Syslog Collector & Automated IP Containment (Premium)
Real-time threat monitoring pipeline ingesting Syslog streams, identifying SSH/Nginx brute-force attacks, and executing automated IPTables / UFW firewall IP drops.
# Network SIEM Automated Containment Handler
import sys
import json
import subprocess
def handle_wazuh_alert(alert_data):
rule_id = alert_data.get("rule", {}).get("id")
src_ip = alert_data.get("data", {}).get("srcip")
# Rule 5712: SSH Brute force attack detected
if rule_id in [...Polling the Meta Graph API with Auto-Pagination in Python
The Meta Graph API returns results one page at a time. Every response that has more data includes a paging.next cursor URL. The pattern below wraps that into a single...
import requests
import time
from collections import Counter
BASE = "https://graph.facebook.com/v20.0"
# ── helpers ──────────────────────────────────────────────────────────────
def g(url: str, token: str, params: dict = None) -> dict:
"""GET a Graph API endpoint, automatically injecting the...Generating Styled Excel & PowerPoint Reports Automatically with Python
After collecting data from APIs or scraping, the next step is usually turning it into a document a non-technical stakeholder can open and read. openpyxl writes styled Excel workbooks; python-pptx...
# pip install openpyxl python-pptx
import openpyxl
from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
from openpyxl.utils import get_column_letter
from pptx import Presentation
from pptx.util import Inches, Pt
from pptx.dml.color import RGBColor
# ── shared theme ────────────...Automating FTP Deployments in Python with Smart Change Detection & Retry
Manually uploading files over FTP after every code change is error-prone and slow. A Python script using the built-in ftplib module can automate this completely — uploading only changed files,...
"""
ftp_deploy.py — upload only changed files, retry on drop, clear caches.
Usage:
python ftp_deploy.py
"""
import ftplib
import io
import os
import socket
import time
import urllib.request
import urllib.error
# ── config ────────────────────────────────────────────────────────────────
FTP_HOS...Cleaner Data Objects with Python dataclasses (Premium)
Writing __init__, __repr__ and __eq__ by hand is tedious. A @dataclass generates them for you, with type hints, defaults and immutability baked in.
from dataclasses import dataclass, field
@dataclass(frozen=True, slots=True)
class Money:
amount: int # store minor units (cents) to avoid float errors
currency: str = "KES"
def __post_init__(self):
if self.amount < 0:
raise ValueError("amount cannot be neg...Concurrent HTTP Requests with asyncio and httpx (Premium)
Fetching 50 URLs one after another is painfully slow. With asyncio and httpx you can fire them concurrently and gather the results, turning minutes into seconds.
import asyncio
import httpx
async def fetch(client, url):
r = await client.get(url, timeout=10)
r.raise_for_status()
return url, len(r.content)
async def main(urls):
async with httpx.AsyncClient() as client:
tasks = [fetch(client, u) for u in urls]
return await asyn...Streaming Large Files with Python Generators (Premium)
Loading a multi-gigabyte file into memory will crash your process. A generator yields one chunk (or line) at a time, so memory stays flat no matter how big the file...
def read_in_chunks(path, size=1024 * 1024):
"""Yield a file one megabyte at a time."""
with open(path, "rb") as f:
while chunk := f.read(size):
yield chunk
def count_lines(path):
total = 0
for chunk in read_in_chunks(path):
total += chunk.count(b"\n")...