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Phil Vishnevsky
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Intro to Data Mining: Python Exercises

data|January 15, 2025

A collection of Python exercises covering basic to advanced concepts including data types, control structures, functions, and object-oriented programming.

[Python][Data Mining][Programming Fundamentals][Exercises]
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Overview

This notebook contains a comprehensive collection of Python exercises designed for the Introduction to Data Mining course. It covers fundamental Python concepts that are essential for data analysis and manipulation.

Topics Covered

  • Basic Python Syntax: Variables, data types, and operators
  • Control Structures: Conditional statements and loops
  • Functions: Defining and using functions for code reusability
  • Data Structures: Lists, tuples, dictionaries, and sets
  • Object-Oriented Programming: Classes and objects basics

Learning Objectives

By completing these exercises, you’ll gain proficiency in:

  • Writing clean and efficient Python code
  • Understanding Python’s core data structures
  • Implementing functions for modular programming
  • Working with basic object-oriented concepts

Skills Developed

💡

These exercises build the foundation for more advanced data mining concepts covered in subsequent assignments.

  • Problem-solving with Python
  • Code organization and best practices
  • Debugging and testing strategies
  • Reading and understanding Python documentation

Interactive Notebook
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related:
[Python][Data Mining][Programming Fundamentals][Exercises]