Polaris Python Assignments 🚀

This repository contains all of my assignments from the Polaris Artificial Intelligence Program.
The program focuses on learning Python step by step through structured weekly projects that emphasize problem-solving, clean logic, and real-world use cases.

The main goal of this repository is to:

• document my learning progress,
• showcase my coding style and thinking process,
• and build a solid foundation for future AI, ML, robotics, and engineering projects.

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📚 Assignments Overview

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📌 Assignment #1 — Python Basics

Focus:
Understanding how Python programs work from input to output and learning how to think algorithmically.

Topics Covered

• Basic Python syntax
• Variables
• Conditionals
• User input & output
• Working with VS Code
• Introduction to Git & GitHub

Mini-Projects

File	Description
hundred_years_calculator.py	Asks the user’s name and age, then calculates the year they will turn 100.
simple_calculator.py	Performs basic arithmetic operations on two user-entered numbers.
positive_negative.py	Determines whether a number is positive, negative, or zero.
grader.py	Prints Passed or Failed based on the user’s exam score.

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📌 Assignment #2 — Loops, Data Structures & Libraries

Focus:
Learning how to control program flow, repeat operations, handle errors, and use built-in libraries.

Topics Covered

• Loops (for, while)
• Nested loops
• Error handling (try-except)
• Python standard libraries (random, datetime)
• Writing interactive CLI programs

Mini-Projects

File	Description
countdown.py	Counts down from a user-defined number and finishes with "Ateşle! 🚀".
sum_calculator.py	Calculates the sum of numbers from 1 to N.
multiplecation_table.py	Generates a multiplication table using nested loops.
number_check.py	Validates user input and prevents crashes caused by invalid input.
guessing_game.py	Random number guessing game with higher/lower hints.
midterm_counter.py	Calculates remaining time until the next exam using datetime.

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📌 Assignment #3 — Data Hunters (Files, Regex & Testing)

Focus:
Working with realistic, messy data and making programs more reliable, reusable, and testable.

This assignment introduces three important engineering skills:

1. Data persistence (files do not disappear when the program closes)
2. Data cleaning using Regular Expressions
3. Verification using unit tests

Topics Covered

• File I/O (reading from and writing to files)
• Regular Expressions (Regex)
• Data extraction and cleaning
• Interactive CLI design using loops
• Unit testing with pytest

Mini-Projects

File	Description
data_hunter.py	Extracts emails and phone numbers from broken data using Regex. The user can choose between loading data from a file or pasting raw data manually. Cleaned results are saved to output files.
password_security.py	Interactive password validation system that checks for uppercase letters, numbers, and special characters. The program runs in a loop and provides clear feedback.
test_security.py	Unit tests written with pytest to verify the password validation logic under multiple scenarios.
lvl1_bozuk_veri.txt	Noisy sample data containing mixed valid and invalid contact information.
lvl2_bozuk_veri.txt	More complex broken data with duplicates and log-style entries for advanced cleaning.

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📌 Assignment #4 — Object-Oriented Programming (OOP)

Focus:
Transitioning to Object-Oriented Programming (OOP) by understanding classes, objects, methods, and encapsulation.

This assignment acts as a bridge to understanding the architecture of AI models and advanced software systems.

Topics Covered

• Classes and Objects
• The __init__ constructor
• Instance attributes and methods
• State management inside objects

Mini-Projects

File	Description
rocket_simulation.py	A Rocket class that tracks fuel levels. Includes methods to launch the rocket (consuming fuel) and refuel. Runs in a continuous interactive CLI loop.
personal_assistant.py	An Assistant class that acts as a simple AI chatbot. It tracks its own operation count invisibly and provides a status report, greeting, and current time.

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📌 Assignment #5 — The Pythonic Summit (Final Assignment)

Focus:
Mastering advanced Python features to write shorter, more elegant, and highly efficient code ("Pythonic" code). This is the final step before diving into Artificial Intelligence.

Topics Covered

• List Comprehensions (One-liners for for loops and if conditions)
• Advanced functions with *args and **kwargs
• Data filtering and manipulation

Mini-Projects

File	Description
data_wizard.py	A CLI simulation that generates a dataset of people and uses list comprehensions to filter them by age and name. It also features a robust analyze_data function showcasing the use of *args and **kwargs for flexible data processing.

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📁 Repository Structure

Polaris/

│

├── Polaris_Assignment_#1/

│ ├── hundred_years_calculator.py

│ ├── simple_calculator.py

│ ├── positive_negative.py

│ ├── grader.py

│

├── Polaris_Assignment_#2/

│ ├── countdown.py

│ ├── sum_calculator.py

│ ├── multiplecation_table.py

│ ├── number_check.py

│ ├── guessing_game.py

│ ├── midterm_counter.py

│

├── Polaris_Assignment_#3/

│ ├── data_hunter.py

│ ├── password_security.py

│ ├── test_security.py

│ ├── lvl1_bozuk_veri.txt

│ ├── lvl2_bozuk_veri.txt

│

├── Polaris_Assignment_#4/

│ ├── personal_assistant.py

│ ├── rocket_simulation.py

│

├── Polaris_Assignment_#5/

│ ├── data_wizard.py

│

...

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🎯 Purpose of This Repository

• Track my development as a Python programmer
• Build a structured and readable coding portfolio
• Document my progress throughout the Polaris AI Program
• Prepare for future work in AI, robotics, electronics, and engineering systems

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🛠️ Technologies Used

• Python 3
• VS Code
• Git & GitHub
• Python Standard Library
• pytest

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👤 Author

Mohammad Taha Halakooei
Polaris AI Program Participant
Biomedical Engineering Student @ Yildiz Technical University

Interests: Robotics • Electronics • AI • Problem-Solving