5 Python Scripts That Saved My Team 20 Hours This Month

#python #automation #tutorial #productivity

Every team has repetitive tasks that eat hours every week. Here are 5 Python scripts that saved my team 20 hours this month, with code you can copy today.

1. Automated Log Analyzer (Saved 4 hours/week)

We were manually grep-ing through logs to find errors. This script does it automatically:

import re
from collections import Counter
from pathlib import Path

def analyze_logs(log_dir):
    error_patterns = {
        "timeout": r"Connection.*timeout",
        "auth_fail": r"Authentication.*failed",
        "db_error": r"Database.*error",
        "memory": r"Out of memory",
    }

    errors = Counter()
    for log_file in Path(log_dir).glob("*.log"):
        for line in log_file.read_text().splitlines():
            for name, pattern in error_patterns.items():
                if re.search(pattern, line, re.IGNORECASE):
                    errors[name] += 1

    return errors.most_common()

# Usage
for error_type, count in analyze_logs("/var/log/app"):
    print(f"{error_type}: {count} occurrences")

2. Meeting Notes Summarizer (Saved 3 hours/week)

from datetime import datetime

def summarize_meeting(transcript):
    """Extract action items and decisions from meeting transcript."""
    action_items = []
    decisions = []

    for line in transcript.split("."):
        line = line.strip()
        if any(word in line.lower() for word in ["will", "should", "need to", "action"]):
            action_items.append(line)
        if any(word in line.lower() for word in ["decided", "agreed", "conclusion"]):
            decisions.append(line)

    return {"actions": action_items, "decisions": decisions}

3. Deployment Health Checker (Saved 5 hours/week)

import subprocess
import json

def check_deployment_health(services):
    results = []
    for service in services:
        try:
            response = subprocess.run(
                ["curl", "-s", "-o", "/dev/null", "-w", "%{http_code}", f"{service}/health"],
                capture_output=True, text=True, timeout=5
            )
            status = "healthy" if response.stdout == "200" else "unhealthy"
            results.append({"service": service, "status": status, "code": response.stdout})
        except subprocess.TimeoutExpired:
            results.append({"service": service, "status": "timeout", "code": "000"})
    return results

4. CSV Data Validator (Saved 4 hours/week)

import csv
from collections import defaultdict

def validate_csv(filepath, required_cols):
    errors = defaultdict(list)
    with open(filepath) as f:
        reader = csv.DictReader(f)
        for i, row in enumerate(reader, 1):
            for col in required_cols:
                if not row.get(col):
                    errors[col].append(f"Row {i}: missing {col}")
            for col, val in row.items():
                if val and len(val) > 1000:
                    errors[col].append(f"Row {i}: value too long")
    return dict(errors)

5. Slack Alert Router (Saved 4 hours/week)

import json
import urllib.request

def send_alert(webhook, severity, message, channel="#ops"):
    color = {"critical": "#FF0000", "warning": "#FFA500", "info": "#36a64f"}
    payload = {
        "channel": channel,
        "attachments": [{
            "color": color.get(severity, "#36a64f"),
            "text": f"[{severity.upper()}] {message}",
            "ts": str(int(time.time()))
        }]
    }
    req = urllib.request.Request(webhook, json.dumps(payload).encode(), {"Content-Type": "application/json"})
    urllib.request.urlopen(req)

The Impact

Script	Time Saved	Use Case
Log Analyzer	4 hrs/week	Error detection
Meeting Summarizer	3 hrs/week	Note taking
Health Checker	5 hrs/week	Monitoring
CSV Validator	4 hrs/week	Data quality
Alert Router	4 hrs/week	Notifications
Total	20 hrs/week

These scripts are just the start. For more automation templates, check out the Automation Starter Pack.

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