Python for Beginners: Data Structures

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🧠 What I Learned

• I recognized lists, tuples, sets, and dictionaries in Python
• I stored and manipulated data using these core data structures
• I used built-in Python methods to solve a real-world problem

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🧩 Project Overview

For this project, I completed a hands-on exercise focused on student performance analysis, where I applied various Python data structures to solve practical problems.

💡 Learning Objectives

• I gained a solid understanding of lists, tuples, sets, and dictionaries
• I learned how to store, access, and manipulate data within these structures
• I explored the differences between each data structure and learned when to use them

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✅ Prerequisites

Before starting this project, I already had a basic understanding of:

• Python syntax and concepts
• Basic math operations
• Control structures like for loops and if statements

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🛠️ What I Did Step-by-Step

1. Identified and used Python lists
2. Recognized and worked with sets and tuples
3. Created a dictionary and modified its elements
4. Completed a practice task: filtering a list of dictionaries
5. Manipulated data for basic analysis
6. Used Python methods to visualize data
7. Tackled a final challenge: building a Food Recommendation System

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📦 Outcome

By the end of this project, I was able to confidently recognize and apply Python’s core data structures. I used them to manipulate and analyze data, which helped reinforce my foundational programming skills and prepared me for more advanced data analysis work.

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LISTS

Tuples

SETS

Dictionaries

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