a = 5
b = 3
sum = a + b  # Addition
difference = a - b  # Subtraction
        

age = 18
if age >= 18:
    print("You are an adult!")
else:
    print("You are a minor.")
        

Python Basics: Projects and Real-World Applications

Key Projects

• Project 1: Personal Expense Tracker

  Create a simple application that allows users to track their expenses. The program can take input for expenses, categorize them, and provide a summary report.

  
  expenses = {}
  while True:
      item = input("Enter expense item (or 'quit' to exit): ")
      if item == 'quit':
          break
      cost = float(input(f"Enter cost for {item}: "))
      expenses[item] = cost
  print("Your expenses:", expenses)
              
              

• Project 2: Basic Calculator

  Develop a command-line calculator that can perform basic arithmetic operations such as addition, subtraction, multiplication, and division.

  
  def calculator():
      operation = input("Choose operation (+, -, *, /): ")
      a = float(input("Enter first number: "))
      b = float(input("Enter second number: "))
      if operation == "+":
          print("Result:", a + b)
      elif operation == "-":
          print("Result:", a - b)
      elif operation == "*":
          print("Result:", a * b)
      elif operation == "/":
          print("Result:", a / b)
  calculator()
              
              

• Project 3: To-Do List Application

  Build a simple command-line to-do list where users can add, remove, and view tasks.

  
  tasks = []
  while True:
      action = input("Enter 'add', 'remove', or 'view' (or 'quit' to exit): ")
      if action == 'quit':
          break
      elif action == 'add':
          task = input("Enter task to add: ")
          tasks.append(task)
      elif action == 'remove':
          task = input("Enter task to remove: ")
          tasks.remove(task)
      elif action == 'view':
          print("Your tasks:", tasks)
              
              

Real-World Applications

The knowledge of Python basics has various real-world applications that can significantly impact different domains:

• Web Development: Python can be used with frameworks like Flask and Django to create web applications.
• Data Analysis: With libraries like Pandas and NumPy, Python is an essential tool for data scientists to analyze large datasets.
• Automation: Python scripts can automate mundane tasks such as file organization, data entry, or web scraping.
• Machine Learning: Understanding Python basics is crucial for developing machine learning models using libraries like TensorFlow and Scikit-learn.