THE BEGINNING

import qrcode

def make_qr(data, path, box_size=10, border=4):
    """Encode any text, URL or vCard string into a PNG QR code."""
    qr = qrcode.QRCode(
        version=None,                              # auto-size to fit the payload
        error_correction=qrcode.constants.ERROR_CORRECT_M,
        box_size=box_size,
        border=border,
    )
    qr.add_data(data)
    qr.make(fit=True)
    qr.make_image(fill_color="black", back_color="white").save(path)
    return qr.version, qr.modules_count

version, modules = make_qr("https://www.saeedangiz.link", "portfolio_qr.png")
print(f"QR version {version} -> {modules}x{modules} modules")
print("saved: portfolio_qr.png")

QR version 3 -> 29x29 modules
saved: portfolio_qr.png

import pandas as pd

df = pd.read_csv("daily_activity.csv", parse_dates=["date"])

# Drop non-wear days before aggregating, they skew every average
worn = df[df["wear_minutes"] >= 600].copy()
worn["weekday"] = worn["date"].dt.day_name()

summary = (
    worn.groupby("weekday")
        .agg(steps=("total_steps", "mean"),
             sedentary_h=("sedentary_minutes", lambda m: m.mean() / 60),
             days=("total_steps", "size"))
        .round(1)
        .sort_values("steps", ascending=False)
)
print(summary.head())

           steps  sedentary_h  days
weekday
Saturday  8152.7         15.2   168
Tuesday   8125.0         16.1   181
Monday    7780.9         16.4   176
Wednesday 7559.4         16.0   183
Friday    7448.2         16.3   174

import time
import requests
from bs4 import BeautifulSoup

HEADERS = {"User-Agent": "portfolio-scraper/1.0 (contact: angizsaeed@gmail.com)"}

def scrape_quotes(pages=2, delay=1.0):
    """Polite scraper: identifies itself, respects a delay, fails loudly."""
    rows = []
    for page in range(1, pages + 1):
        response = requests.get(
            f"https://quotes.toscrape.com/page/{page}/",
            headers=HEADERS, timeout=10,
        )
        response.raise_for_status()

        soup = BeautifulSoup(response.text, "lxml")
        for quote in soup.select("div.quote"):
            rows.append({
                "author": quote.select_one("small.author").get_text(strip=True),
                "tags": [t.get_text(strip=True) for t in quote.select("a.tag")],
            })
        time.sleep(delay)          # never hammer a server
    return rows

data = scrape_quotes()
print(f"scraped {len(data)} quotes")
print(data[0])

scraped 20 quotes
{'author': 'Albert Einstein', 'tags': ['change', 'deep-thoughts', 'thinking', 'world']}

from collections import Counter
from pathlib import Path

FOLDERS = {
    ".pdf": "documents", ".docx": "documents",
    ".jpg": "images", ".png": "images",
    ".csv": "data", ".xlsx": "data",
}

def tidy(folder, dry_run=True):
    """Sort loose files into subfolders by extension."""
    folder = Path(folder)
    moved = Counter()

    for item in folder.iterdir():
        target = FOLDERS.get(item.suffix.lower())
        if not item.is_file() or target is None:
            continue                               # skip dirs and unknown types

        destination = folder / target
        if not dry_run:
            destination.mkdir(exist_ok=True)
            item.rename(destination / item.name)
        moved[target] += 1

    return moved

for target, count in tidy("~/Downloads").items():
    print(f"{target:<10} {count} file(s)")

documents  14 file(s)
images     9 file(s)
data       6 file(s)