7 놀랍게도 유용한 유용한 파이썬 스크립트 매주 사용합니다

import os
import shutil
from pathlib import Path

# Folder to organize (e.g., Downloads)
base_folder = Path.home() / "Downloads"

# Define folders for each extension
folders = {
    "images": ["jpg", "png", "gif", "bmp"],
    "documents": ["txt", "pdf", "docx"],
    "archives": ["zip", "rar", "tar", "gz"],
    "audio": ["mp3", "wav"],
    # add more categories as needed
}

# Iterate over files in base_folder
for item in base_folder.iterdir():
    if item.is_file():
        ext = item.suffix.lower().lstrip('.')
        moved = False
        # Determine which category folder to use
        for folder, ext_list in folders.items():
            if ext in ext_list:
                dest_dir = base_folder / folder
                dest_dir.mkdir(exist_ok=True)
                item.rename(dest_dir / item.name)
                moved = True
                break
        # If extension didn’t match any category, move to "others"
        if not moved:
            dest_dir = base_folder / "others"
            dest_dir.mkdir(exist_ok=True)
            item.rename(dest_dir / item.name)

import psutil
import time

CPU_LIMIT = 80  # in percentage
MEMORY_LIMIT = 80  # in percentage

while True:
    cpu = psutil.cpu_percent(interval=1)
    memory = psutil.virtual_memory().percent

    print(f"CPU: {cpu}%, Memory: {memory}%")

    if cpu > CPU_LIMIT:
        print("⚠️ CPU usage is high!")

    if memory > MEMORY_LIMIT:
        print("⚠️ Memory usage is high!")

    time.sleep(5)

import smtplib
from email.mime.text import MIMEText

sender = "[email protected]"
receiver = "[email protected]"
subject = "Daily Report"
body = "This is your automated email for today."

msg = MIMEText(body)
msg["Subject"] = subject
msg["From"] = sender
msg["To"] = receiver

# For security, use environment variables or getpass instead of hardcoding.
password = "your_password" 

with smtplib.SMTP_SSL("smtp.gmail.com", 465) as server:
    server.login("[email protected]", password)
    server.send_message(msg)

print("Email sent!")

import time
import os

def notify(title, message):
    os.system(f'''
        osascript -e 'display notification "{message}" with title "{title}"'
    ''')

# Pomodoro session settings
work_duration = 25 * 60  # 25 minutes
break_duration = 5 * 60  # 5 minutes
cycles = 4  # Number of Pomodoro sessions

for i in range(cycles):
    # Work phase
    notify(f"Pomodoro {i + 1} - Focus Time", "Time to focus! Work for 25 minutes.")
    time.sleep(work_duration)

    # Break phase
    notify("Break Time", "Nice work! Take a 5-minute break.")
    time.sleep(break_duration)

# Final notification
notify("All Done!", "You’ve completed all your Pomodoros 🎉")

import random
import string

def generate_password(length=12):
    chars = string.ascii_letters + string.digits + string.punctuation
    password = "".join(random.choice(chars) for _ in range(length))
    return password

new_password = generate_password()
print("Generated Password:", new_password)

# Save to file (simple way)
with open("passwords.txt", "a") as file:
    file.write(f"MySite: {new_password}\n")

import os

search_dir = "your_directory"  # Replace with the path to your notes
search_term = "machine learning"

for root, dirs, files in os.walk(search_dir):
    for file in files:
        if file.endswith(".txt") or file.endswith(".md"):
            file_path = os.path.join(root, file)
            try:
                with open(file_path, "r", encoding="utf-8") as f:
                    content = f.read()
                    if search_term.lower() in content.lower():
                        print(f"✅ Found in: {file_path}")
            except Exception as e:
                print(f"❌ Skipped {file_path} (error reading file)")

import requests
import pandas as pd

BEARER_TOKEN = 'YOUR_TWITTER_BEARER_TOKEN'  # Replace this with your token

headers = {
    "Authorization": f"Bearer {BEARER_TOKEN}"
}

search_url = "

# Keywords that usually show up in academic opportunities
query = (
    '(phd OR "phd position" OR "master position" OR "fully funded") '
    '("apply now" OR "open position" OR "graduate position") '
    '-is:retweet lang:en'
)

params = {
    'query': query,
    'max_results': 10,  # Max is 100 for recent search
    'tweet.fields': 'author_id,created_at,text',
    'expansions': 'author_id',
    'user.fields': 'username,name',
}

def get_tweets():
    response = requests.get(search_url, headers=headers, params=params)
    if response.status_code != 200:
        raise Exception(f"Request failed: {response.status_code}, {response.text}")
    return response.json()

def extract_tweet_info(data):
    users = {u['id']: u for u in data.get('includes', {}).get('users', [])}
    tweets_info = []

    for tweet in data.get('data', []):
        user = users.get(tweet['author_id'], {})
        tweet_url = f"https://twitter.com/{user.get('username')}/status/{tweet['id']}"

        tweets_info.append({
            'Date': tweet['created_at'],
            'Username': user.get('username'),
            'Name': user.get('name'),
            'Text': tweet['text'],
            'Tweet_URL': tweet_url
        })

    return pd.DataFrame(tweets_info)

if __name__ == "__main__":
    data = get_tweets()
    df = extract_tweet_info(data)
    print(df[['Date', 'Username', 'Text', 'Tweet_URL']].head())
    df.to_csv('phd_masters_positions_twitter.csv', index=False)