Programming_Languages_Presentation.pptx.

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presentation about programming language concise

What is a Programming Language?
• - Definition: A set of instructions for
computers to perform specific tasks.
• - Purpose: Bridge communication between
humans and machines.

Types of Programming Languages
• - Low-Level: Close to machine code (e.g.,
Assembly).
• - High-Level: Closer to human language (e.g.,
Python, Java).

Popular Programming Languages
• - Python: Easy to learn, versatile.
• - Java: Platform-independent.
• - C++: Powerful for system programming.

Python Overview
• - Simple syntax and readable.
• - Used in web development, AI, data science.
• - Example: print('Hello, World!')

Java Overview
• - Write Once, Run Anywhere (WORA).
• - Popular for enterprise applications and
Android development.
• - Example: System.out.println('Hello, World!');

C++ Overview
• - Combines procedural and object-oriented
programming.
• - Used in game development, system
programming.
• - Example: cout << 'Hello, World!';

Differences Between Python, Java,
and C++
• | Feature | Python | Java | C++
|
• |-----------|----------------|----------------|------------
-----|
• | Syntax | Simple | Moderate |
Complex |
• | Speed | Slower | Moderate |
Faster |
• | Usage | Versatile | Enterprise |
System/Game Dev |

What is Syntax?
• - Rules that define the structure of a
programming language.
• - Example:
• - Python: print('Hello')
• - Java: System.out.println('Hello');

Compilers and Interpreters
• - Compiler: Translates code into machine
language (e.g., C++).
• - Interpreter: Executes code line by line (e.g.,
Python).

Why Learn Programming?
• - Problem-solving skills.
• - Career opportunities in tech.
• - Automation of repetitive tasks.

Programming for Problem-Solving
• - Real-Life Applications:
• - Web development (e.g., e-commerce sites).
• - Data analysis and AI.
• - Game development.

Introduction to Variables
• - Storage for data in programs.
• - Example in Python:
• age = 25
• print(age)

Introduction to Loops
• - Repeatedly execute code.
• - Example in Python:
• for i in range(5):
• print(i)

Introduction to Functions
• - Block of reusable code.
• - Example in Python:
• def greet():
• print('Hello!')
• greet()

Debugging
• - Identifying and fixing errors in code.
• - Common Errors:
• - Syntax errors.
• - Logic errors.
• - Runtime errors.

Evolution of Programming
Languages
• - Early Languages: Assembly, Fortran.
• - Modern Languages: Python, JavaScript.
• - Trends: Functional and Concurrent
programming.

Choosing the Right Language
• - Considerations:
• - Project type.
• - Performance requirements.
• - Ease of learning.

Future of Programming
• - Trends:
• - Artificial Intelligence and Machine Learning.
• - Quantum Computing.
• - Low-code platforms.

Q&A
• Feel free to ask questions or seek
clarifications.

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