Algorithmic Methods of Data Mining - Homework 1

Overview

This repository contains the solutions for the first homework assignment of the Algorithmic Methods of Data Mining course. The assignment focuses on building Python programming skills through a series of coding challenges on HackerRank platform and implementing algorithms in Python.

Files Included

• Homework 1.pdf: This document serves as a guide to various Python programming challenges, primarily categorized by difficulty level from "easy" to "medium." Inside, you will find:

  • Overview of Challenges: A summary of the exercises included, covering essential Python topics.
  • Difficulty Levels: Exercises are categorized into "easy," "medium," and some may even reach "hard" difficulty to help you gradually build your skills.
  • Key Topics Covered:
    • Basic Python Syntax: Fundamental programming concepts, such as variable declarations, data types, and control structures.
    • Loops: Examples illustrating the use of for and while loops for repetitive tasks.
    • Functions: Detailed explanations and implementations of function definitions, parameters, return values, and scope.
    • Regular Expressions (Regex): An introduction to regex for string searching and manipulation.
    • Data Structures: Exploration of Python’s built-in data structures (lists, tuples, sets, dictionaries) with practical examples

• Homework 1.py: This Python script contains the code implementations for the exercises of PDF. The script includes:

  • Solutions: Each exercise is solved with Python code.
  • Use of Standard Python Features: The code incorporates various Python features, including conditionals, loops, functions, list comprehensions, and more, ensuring that you gain a well-rounded experience in Python programming.