![Introduction to Programming
Languages
Group Members:
- Abdillahi Mohamed Abdillahi
(Registration No: 16527)
- [Other Group Members]](https://image.slidesharecdn.com/programminglanguagespresentation-241224093809-da60bf36/85/Programming_Languages_Presentation-pptx-1-320.jpg)
Programming_Languages_Presentation.pptx.
- 1. Introduction to Programming Languages Group Members: - Abdillahi Mohamed Abdillahi (Registration No: 16527) - [Other Group Members]
- 2. What is a Programming Language? • - Definition: A set of instructions for computers to perform specific tasks. • - Purpose: Bridge communication between humans and machines.
- 3. Types of Programming Languages • - Low-Level: Close to machine code (e.g., Assembly). • - High-Level: Closer to human language (e.g., Python, Java).
- 4. Popular Programming Languages • - Python: Easy to learn, versatile. • - Java: Platform-independent. • - C++: Powerful for system programming.
- 5. Python Overview • - Simple syntax and readable. • - Used in web development, AI, data science. • - Example: print('Hello, World!')
- 6. Java Overview • - Write Once, Run Anywhere (WORA). • - Popular for enterprise applications and Android development. • - Example: System.out.println('Hello, World!');
- 7. C++ Overview • - Combines procedural and object-oriented programming. • - Used in game development, system programming. • - Example: cout << 'Hello, World!';
- 8. Differences Between Python, Java, and C++ • | Feature | Python | Java | C++ | • |-----------|----------------|----------------|------------ -----| • | Syntax | Simple | Moderate | Complex | • | Speed | Slower | Moderate | Faster | • | Usage | Versatile | Enterprise | System/Game Dev |
- 9. What is Syntax? • - Rules that define the structure of a programming language. • - Example: • - Python: print('Hello') • - Java: System.out.println('Hello');
- 10. Compilers and Interpreters • - Compiler: Translates code into machine language (e.g., C++). • - Interpreter: Executes code line by line (e.g., Python).
- 11. Why Learn Programming? • - Problem-solving skills. • - Career opportunities in tech. • - Automation of repetitive tasks.
- 12. Programming for Problem-Solving • - Real-Life Applications: • - Web development (e.g., e-commerce sites). • - Data analysis and AI. • - Game development.
- 13. Introduction to Variables • - Storage for data in programs. • - Example in Python: • age = 25 • print(age)
- 14. Introduction to Loops • - Repeatedly execute code. • - Example in Python: • for i in range(5): • print(i)
- 15. Introduction to Functions • - Block of reusable code. • - Example in Python: • def greet(): • print('Hello!') • greet()
- 16. Debugging • - Identifying and fixing errors in code. • - Common Errors: • - Syntax errors. • - Logic errors. • - Runtime errors.
- 17. Evolution of Programming Languages • - Early Languages: Assembly, Fortran. • - Modern Languages: Python, JavaScript. • - Trends: Functional and Concurrent programming.
- 18. Choosing the Right Language • - Considerations: • - Project type. • - Performance requirements. • - Ease of learning.
- 19. Future of Programming • - Trends: • - Artificial Intelligence and Machine Learning. • - Quantum Computing. • - Low-code platforms.
- 20. Q&A • Feel free to ask questions or seek clarifications.