Structure Programming Concepts Quiz

Study Notes

Course Information

Course Title: Structure Programming
Instructor(s): Dr. Safa Elaskary, Dr. Manar Elshazly
Semester: Fall 2024-2025
Course Code: CSE014
Credit Hours: 3
ECTS: 6
Prerequisites: Not specified

Course Content

Primitive data types, control structures, loops, and decisions
Functions and parameter passing
Top-down design
Arrays
Compiling, running, testing, and debugging programs.
Introduction to programming
Flowcharts and flow of control
- Overview of programming concepts
- Introduction to Python
- Flowchart symbols
- Sequential Python code
Key concepts in programming
- Understanding variables, and data types and control structures.
Programming languages (various)
- Syntax and use cases of Python, Java, and C++ are factors in choosing the right language for a project
Python programming language
- Python programming language is a high-level language, suitable for diverse applications.
- Its simple and elegant syntax makes it a popular choice for beginners and experts alike.
- History
  - Inception: 1989, by Guido van Rossum at Centrum Wiskunde & Informatica (CWI) in the Netherlands.
  - Evolution: Python 2.0 (2000) and Python 3.0 (2008). These versions are widely used today.
  - Future: Expected to continue increasing in popularity in future years.
- Popularity
  - A significant number of developers choose Python for a variety of applications.
- Advantages
  - Easy to learn, simple syntax
  - Cross-platform language, runs on Windows, Linux, and MacOS.
  - Versatile for web development, data analysis, artificial intelligence and scientific computing.
  - Large, active community with resources, support and collaborations regarding Python projects.
Applications of Python
- System management (scripting)
- Graphic User Interface (GUI)
- Internet programming
- Database (DB) programming
- Text data processing
- Distributed processing
- Graphics, and other applications
- How to get started with Python
  - Install Python from python.org
  - Use an IDE (e.g., PyCharm, Visual Studio Code) or a text editor (e.g., Sublime Text, Atom, Notepad++) to write the code.

Basic Syntax and Data Types in Python

Variables: Containers used to store data values
Operators: Arithmetic, assignment, comparison, and logical, perform operations on data.
Data types: Integers, floating-point numbers, strings, and booleans. Examples of variables declaration

Arithmetic Operations

Symbols corresponding to the task and their examples and results

Comparator Operators

Symbols including ==, !=, <, >, <=, and >= for equality, inequality, less than, greater than, less than or equal to, and greater than or equal to.

Flowcharts

Graphical representation of a program's flow.
Four basic shapes used in flowchart:
- Oval: Start and end
- Parallelogram: Input and output
- Rectangle: Calculations
- Diamond: Selection structures
Arrows connect the shapes, tracing the program's flow from start to end.

Sequential Python Code

Examples and explanation to demonstrate writing sequential Python code.
Important lesson: variables of different types are not compatible, need to perform type conversion.
Casting: converting variables to different types (e.g., int(), float(), str()) in order to solve type mismatch and perform operations.
Order of precedence of operators in Python