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What is Programming?

Programming is the process of creating sets of instructions that tell a computer how to perform tasks. It involves writing, testing, debugging, and maintaining algorithms and code in various programming languages like Java, Python, C++, and more. Programming enables software development, web development, and the creation of applications that run on computers, mobile devices, and embedded systems.

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Basic Python Functions: Greeting and Calculating Squares

# Define a function called greet def greet(): # This function prints a greeting message print("Hello, world!") # Call the greet function to execute it greet() # Define a function that takes a name parameter and greets the person def greet_with_name(name): # Print a personalized greeting message print(f"Hello, {name}!") # Call the greet_with_name function with different names greet_with_name("Alice") greet_with_name("Bob") greet_with_name("Charlie") # Define a function that calculates the square of a number def square(num): # Calculate the square of the number result = num ** 2 return result # Return the squared value # Call the square function with different numbers and store the results result1 = square(5) result2 = square(8) # Print the results of the square calculations print(f"The square of 5 is: {result1}") print(f"The square of 8 is: {result2}")

In this code:

• greet() function: Prints a simple "Hello, world!" message when called.
• greet_with_name(name) function: Takes a parameter name and prints a personalized greeting message using an f-string.
• square(num) function: Takes a parameter num, calculates its square using the exponentiation operator **, and returns the result.
• Function calls and output: Demonstrates calling each function (greet(), greet_with_name(name), and square(num)) with different arguments and prints their results.

This code showcases basic Python functions, parameter passing, string formatting, and return statements.

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• Data Structures: Implementing efficient storage and retrieval methods for organizing data in memory, crucial for optimizing algorithm performance.
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• Database Management Systems (DBMS): Designing, implementing, and managing databases to store, retrieve, and manipulate data efficiently using SQL or NoSQL technologies.
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