🐍 Advanced Programming - Python

Course: Advanced Programming – Python
Year: 3rd Year Computer Security Engineering (2025/2026)
Institution: Faculty of Mathematics and Computer Science, Batna 2

---

📖 Overview

This course teaches Python fundamentals and object-oriented programming through practical exercises. Students progress from procedural programming with functions to complete OOP design, learning data types, algorithms, and professional coding practices.

---

📂 Project Structure

advanced-python/
├── tp1/
│   ├── part_a_procedural.py
│   ├── part_b_oop.py
│   └── README.md
│
├── tp2/
│   ├── data_types.py
│   ├── challenge.py
│   └── README.md
│
├── tp3/
│   ├── tp3_functions_classes.py
│   └── README.md
│
├── tp4/
│   ├── regex.py
│   ├── the-prince.txt
│   └── README.md
│
└── README.md

---

🎯 Practical Work Details

📐 TP1 – Area and Perimeter Calculator

Topics: I/O operations, functions, dictionaries, classes, inheritance, polymorphism

Part A - Procedural Approach:

• ✅ User input validation
• ✅ Functions for calculations and data handling
• ✅ Dictionary-based storage
• ✅ File I/O with results.txt

Part B - Object-Oriented Approach:

• ✅ Base Shape class
• ✅ Subclasses: Circle, Rectangle, Square
• ✅ Method overriding and inheritance
• ✅ Polymorphic design

Supported Shapes: Circle, Rectangle, Square

python tp1/part_a_procedural.py
python tp1/part_b_oop.py

---

📚 TP2 – Python Built-In Data Types

Topics: Type system, mutability, data structures, real-world data processing

Data Types Covered:

• 🔢 Numeric: int, float, complex
• 🔤 Text: str, bool
• 📋 Sequences: list, tuple
• 🗂️ Mapping: dict
• 🎯 Sets: set, frozenset
• 💾 Binary: bytes, bytearray
• ⚪ Special: None

Exercises:

• ✅ Type inspection and conversion
• ✅ Mutable vs immutable behavior
• ✅ Sequence and dictionary operations
• ✅ Set operations and uniqueness
• ✅ Binary data handling
• ✅ Real dataset processing in challenge.py

python tp2/data_types.py
python tp2/challenge.py

---

🏗️ TP3 – Functions and Classes

Topics: Functions, closures, lambda expressions, OOP, inheritance, polymorphism

10 Exercises:

#	Exercise	Concept
1	power(), sum_of_powers()	Basic functions
2	celsius_to_fahrenheit()	Lambda & map/filter
3	multiplier(n)	Closures
4	Student class	Simple class design
5	Student.update_grade()	Methods & behavior
6	Person, Teacher	Parent/child classes
7	work() methods	Method overriding
8	Dog, Cat, Bird	Shared interface
9	Shape, Circle, Rectangle	Polymorphism
10	School management system	Complete OOP hierarchy

python tp3/tp3_functions_classes.py

---

🔍 TP4 – Regular Expressions Toolkit

Topics: Text mining, pattern design, extraction helpers, regex debugging

Highlights:

• ✅ File reading with graceful fallback when the corpus is missing
• ✅ Four focused helpers: years, capitalized tokens, full names, quoted dialogs
• ✅ Regex cheatsheet documented in tp4/README.md
• ✅ Screenshots and slides (function.png, pattern.png, RegEx.pdf) for quick review
• ✅ Simple CLI run to test new patterns against the-prince.txt

python tp4/regex.py

---

🚀 How to Run

# TP1 - Shape Calculator
python tp1/part_a_procedural.py
python tp1/part_b_oop.py

# TP2 - Data Types
python tp2/data_types.py
python tp2/challenge.py

# TP3 - Functions and Classes
python tp3/tp3_functions_classes.py

# TP4 - Regular Expressions Toolkit
python tp4/regex.py

---

📋 Requirements

• Python 3.10+

---

💡 Key Concepts

• Functions & Modularity: Writing reusable, organized code
• Data Structures: Lists, dictionaries, sets for different use cases
• Control Flow: if/elif/else, loops, logical operations
• Object-Oriented Programming: Classes, inheritance, polymorphism
• Type System: Understanding and using Python's built-in types
• File I/O: Reading and writing data
• Functional Programming: Lambda, map, filter, closures
• Error Handling: Input validation and exception management
• Type Hints & Documentation: Professional code standards
• Regex & Text Mining: Pattern design, token extraction, corpus analysis

---

🧠 Learning Progression

TP1 → TP2 → TP3 → TP4

From procedural functions to complete object-oriented systems, then onward to text mining and regex-driven data extraction.