از این به بعد کد های بیشتری قرار میدم برای هر بخش که راحت بتونید کپی کنین و استفاده کنید . اگر دوست دارید حتما ری اکشن بزنید. 💕

# Looping through a list
fruits = ["apple", "banana", "cherry"]
for fruit in fruits:
    print(fruit)  # Output: apple, banana, cherry

# Looping through a string
for char in "hello":
    print(char)  # Output: h, e, l, l, o

# Using range to repeat a loop 5 times
for i in range(5):
    print(i)  # Output: 0, 1, 2, 3, 4

# Looping with break
for num in range(10):
    if num == 5:
        break
    print(num)  # Output: 0 to 4

# Looping with continue
for i in range(5):
    if i == 2:
        continue
    print(i)  # Output: 0, 1, 3, 4

import numpy as np
import matplotlib.pyplot as plt

# Define tasks with their optimistic, most likely, and pessimistic durations (in days)
tasks = [
    {"name": "Requirements Analysis", "optimistic": 2, "most_likely": 4, "pessimistic": 6},
    {"name": "Software Design", "optimistic": 3, "most_likely": 5, "pessimistic": 9},
    {"name": "Implementation", "optimistic": 5, "most_likely": 10, "pessimistic": 15},
    {"name": "Testing & Review", "optimistic": 2, "most_likely": 3, "pessimistic": 5}
]

# Number of Monte Carlo simulations
n_simulations = 10000
project_durations = []

# Run the Monte Carlo simulation
for _ in range(n_simulations):
    total_duration = 0
    for task in tasks:
        o = task["optimistic"]
        m = task["most_likely"]
        p = task["pessimistic"]
        # Generate a duration using triangular distribution
        duration = np.random.triangular(o, m, p)
        total_duration += duration
    project_durations.append(total_duration)

# Calculate probability of finishing under 25 days
deadline = 25
prob = np.mean(np.array(project_durations) <= deadline)

# Plot the histogram
plt.figure(figsize=(10, 6))
plt.hist(project_durations, bins=50, color="#336699", alpha=0.85, edgecolor='black')
plt.title("Monte Carlo Simulation – Estimated Project Duration (10K Runs)", fontsize=14)
plt.xlabel("Project Duration (days)")
plt.ylabel("Frequency")
plt.grid(True)
plt.axvline(x=deadline, color='red', linestyle='--',
            label=f'Deadline = {deadline} days\nP ≈ {prob*100:.2f}%')
plt.legend()
plt.tight_layout()
plt.show()

✅💡تصویر بالا نتیجه خروجی کد است.

📌 خروجی چی می‌ده؟

یه نمودار هیستوگرام که نشون می‌ده پراکندگی زمان تحویل پروژه چطوریه

عددی که احتمال رسیدن به ددلاین ۲۵ روزه رو می‌گه
با افزایش تعداد شبیه‌سازی (مثلاً 100,000)، دقت بالاتر می‌ره

# Creating a list
fruits = ["apple", "banana", "cherry"]
print(fruits)  # Output: ['apple', 'banana', 'cherry']

# Accessing elements by index
print(fruits[1])  # Output: banana

# Changing an element
fruits[0] = "grape"
print(fruits)  # Output: ['grape', 'banana', 'cherry']

# Adding an item
fruits.append("orange")
print(fruits)  # Output: ['grape', 'banana', 'cherry', 'orange']

# Removing an item
fruits.remove("banana")
print(fruits)  # Output: ['grape', 'cherry', 'orange']

# Looping through a list
for fruit in fruits:
    print(fruit)  # Output: grape \n cherry \n orange

# Checking membership
print("cherry" in fruits)  # Output: True

# Create an empty list to store tasks
tasks = []

# Function to add a new task to the list
def add_task(task):
    tasks.append(task)
    print("Task added:", task)

# Function to display all tasks in the list
def show_tasks():
    print("\nYour To-Do List:")
    for i, task in enumerate(tasks, 1):  # Enumerate starts from 1
        print(f"{i}. {task}")

# Main loop to run the menu
while True:
    print("\n1. Add Task\n2. Show Tasks\n3. Exit")
    choice = input("Enter your choice: ")  # Ask the user for an option

    if choice == "1":
        task = input("Enter a new task: ")  # Get task input from user
        add_task(task)  # Call function to add the task
    elif choice == "2":
        show_tasks()  # Show all tasks
    elif choice == "3":
        print("Exiting the program.")  # Exit message
        break  # Exit the loop
    else:
        print("Invalid choice. Please try again.")  # Handle wrong input

اگر دوست داشتید میتونیم روی مثال های واقعی تر تمرکز کنیم ، برای این کار ری اکشن یادتون نره .
راستی میتونید بقیه الگوریتم هارو هم مشاهده کنین.

import numpy as np
import matplotlib.pyplot as plt
from sklearn.datasets import make_moons
from sklearn.cluster import DBSCAN

# تولید داده‌های هلالی‌شکل با نویز
X, _ = make_moons(n_samples=300, noise=0.1, random_state=0)

# اعمال الگوریتم DBSCAN
db = DBSCAN(eps=0.2, min_samples=5)
labels = db.fit_predict(X)

# رنگ‌بندی بر اساس لیبل‌ها
unique_labels = set(labels)
colors = ['purple', 'gold', 'gray']

# رسم تصویر
plt.figure(figsize=(8, 6))
for k in unique_labels:
    color = 'gray' if k == -1 else colors[k % len(colors)]
    class_member_mask = (labels == k)
    xy = X[class_member_mask]
    plt.plot(xy[:, 0], xy[:, 1], 'o', markerfacecolor=color, markeredgecolor='k', markersize=8, label=f'Cluster {k}' if k != -1 else 'Noise')

plt.title("DBSCAN clustering on moon-shaped data", fontsize=14)
plt.legend()
plt.grid(True)
plt.tight_layout()
plt.show()

# Create an empty list to store contact dictionaries
contacts = []

# Define a function to add a new contact to the list
def add_contact(name, phone):
    # Append a dictionary with name and phone number to the list
    contacts.append({"name": name, "phone": phone})
    # Print confirmation message
    print(f"Contact {name} added.")

# Define a function to show all saved contacts
def show_contacts():
    # Check if the list is empty
    if not contacts:
        print("No contacts yet.")  # Inform the user there's no data
    else:
        print("\nContact List:")  # Heading
        # Loop through the list and display each contact
        for i, c in enumerate(contacts, 1):
            print(f"{i}. {c['name']} - {c['phone']}")  # Print contact with number

# Define a function to search for a contact by name
def search_contact(name):
    found = False  # Flag to track if any contact is found
    # Loop through contacts to search for a match
    for c in contacts:
        if c["name"].lower() == name.lower():  # Case-insensitive comparison
            print(f"Found: {c['name']} - {c['phone']}")  # Print matched contact
            found = True
    # If not found, notify the user
    if not found:
        print("Contact not found.")

# Main program loop to display menu and handle user choices
while True:
    # Show menu options
    print("\n1. Add Contact\n2. Show All\n3. Search\n4. Exit")
    # Get user input for menu choice
    choice = input("Choose an option: ")

    # Handle user's choice
    if choice == "1":
        # Get contact name and phone from user
        name = input("Enter name: ")
        phone = input("Enter phone: ")
        # Call function to add contact
        add_contact(name, phone)
    elif choice == "2":
        # Call function to show all contacts
        show_contacts()
    elif choice == "3":
        # Get name to search
        name = input("Enter name to search: ")
        # Call search function
        search_contact(name)
    elif choice == "4":
        # Exit message
        print("Goodbye!")
        break  # Exit the loop and stop the program
    else:
        # Handle invalid menu choices
        print("Invalid option. Try again.")

ری اکشن یادتون نره ممنوون

import random

# Define the possible choices
choices = ["rock", "paper", "scissors"]

print("Welcome to Rock, Paper, Scissors!")
print("Type 'quit' to exit the game.\n")

# Main game loop
while True:
    # Get user input and convert to lowercase
    user_choice = input("Enter your choice (rock, paper, scissors): ").lower()
    
    # Exit condition
    if user_choice == "quit":
        print("Game over! Thanks for playing.")
        break
    
    # Validate user choice
    if user_choice not in choices:
        print("Invalid choice, please try again.\n")
        continue
    
    # Computer randomly selects one of the choices
    computer_choice = random.choice(choices)
    print(f"Computer chose: {computer_choice}")
    
    # Determine the outcome
    if user_choice == computer_choice:
        print("It's a tie!\n")
    elif (user_choice == "rock" and computer_choice == "scissors") or \
         (user_choice == "scissors" and computer_choice == "paper") or \
         (user_choice == "paper" and computer_choice == "rock"):
        print("You win!\n")
    else:
        print("You lose!\n")

import time
import os

def clear():
    os.system("cls" if os.name == "nt" else "clear")

while True:
    clear()
    print("⏰ ساعت دیجیتال پایتون ⏰\n")
    print(time.strftime("%H:%M:%S"))
    time.sleep(1)