Programming_Languages_Presentation.pptx.

Programming_Languages_Presentation.pptx.

• 1.
  Introduction to Programming Languages GroupMembers: - Abdillahi Mohamed Abdillahi (Registration No: 16527) - [Other Group Members]
• 2.
  What is aProgramming Language? • - Definition: A set of instructions for computers to perform specific tasks. • - Purpose: Bridge communication between humans and machines.
• 3.
  Types of ProgrammingLanguages • - 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 • - Identifyingand 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 RightLanguage • - 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 freeto ask questions or seek clarifications.