💻 Python Projeleri

# Temel web scraper yapısı
import requests
from bs4 import BeautifulSoup
import pandas as pd

def scrape_prices(url):
    response = requests.get(url)
    soup = BeautifulSoup(response.content, 'html.parser')
    
    prices = soup.find_all('span', class_='price')
    return [price.text.strip() for price in prices]

# Discord bot temel yapısı
import discord
from discord.ext import commands

bot = commands.Bot(command_prefix='!')

@bot.event
async def on_ready():
    print(f'{bot.user} online!')

@bot.command()
async def merhaba(ctx):
    await ctx.send(f'Merhaba {ctx.author.mention}!')

bot.run('YOUR_BOT_TOKEN')

# Borsa veri çekme
import yfinance as yf
import matplotlib.pyplot as plt

def get_stock_data(symbol, period="1mo"):
    stock = yf.Ticker(symbol)
    data = stock.history(period=period)
    return data

# Grafik çizimi
def plot_stock(data, symbol):
    plt.figure(figsize=(12, 6))
    plt.plot(data['Close'], linewidth=2)
    plt.title(f'{symbol} Fiyat Grafiği')
    plt.xlabel('Tarih')
    plt.ylabel('Fiyat ($)')
    plt.grid(True, alpha=0.3)
    plt.show()

# Şifreleme modülü
from cryptography.fernet import Fernet
import base64
import os

class PasswordManager:
    def __init__(self, master_password):
        self.key = self.generate_key(master_password)
        self.cipher_suite = Fernet(self.key)
    
    def generate_key(self, password):
        password_bytes = password.encode()
        key = base64.urlsafe_b64encode(password_bytes[:32].ljust(32, b'0'))
        return key
    
    def encrypt_password(self, password):
        return self.cipher_suite.encrypt(password.encode())
    
    def decrypt_password(self, encrypted_password):
        return self.cipher_suite.decrypt(encrypted_password).decode()

# AI Chatbot temel yapısı
import openai
from flask import Flask, request, jsonify

app = Flask(__name__)
openai.api_key = "your-api-key"

@app.route('/chat', methods=['POST'])
def chat():
    user_message = request.json['message']
    
    response = openai.ChatCompletion.create(
        model="gpt-3.5-turbo",
        messages=[
            {"role": "user", "content": user_message}
        ]
    )
    
    bot_message = response.choices[0].message.content
    return jsonify({"response": bot_message})

# Streamlit Dashboard
import streamlit as st
import plotly.express as px
import pandas as pd

st.set_page_config(page_title="Veri Dashboard", layout="wide")

# Sidebar
st.sidebar.title("📊 Veri Dashboard")
chart_type = st.sidebar.selectbox(
    "Grafik Türü Seçin:",
    ["Line Chart", "Bar Chart", "Scatter Plot"]
)

# Ana sayfa
st.title("📈 Interaktif Veri Görselleştirme")

# Veri yükleme
uploaded_file = st.file_uploader("CSV dosyası yükleyin", type="csv")
if uploaded_file:
    df = pd.read_csv(uploaded_file)
    st.dataframe(df.head())