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## 🧩 1. What are Data Structures?
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## 🧩 What are Data Structures?
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**Definition:**
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Data Structures in Python are **containers used to store, organize, and manipulate data** efficiently.
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## 📋 2. List — Ordered and Mutable Collection
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## 📋 1. List — Ordered and Mutable Collection
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**Definition:**
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A **list** is an ordered, **mutable (changeable)** collection of items.
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## 🧱 3. Tuple — Ordered and Immutable Collection
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## 🧱 2. Tuple — Ordered and Immutable Collection
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**Definition:**
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A **tuple** is an ordered, **immutable (unchangeable)** collection of items.
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## 🔢 4. Set — Unordered, Unique Collection
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## 🔢 3. Set — Unordered, Unique Collection
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**Definition:**
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A **set** is an **unordered collection** that does **not allow duplicates**.
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## 🔑 5. Dictionary — Key-Value Pairs (Most Used in DevOps)
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## 🔑 4. Dictionary — Key-Value Pairs (Most Used in DevOps)
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**Definition:**
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A **dictionary** stores data in **key-value** pairs.
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## ⚙️ 6. Nested Data Structures
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## ⚙️ 5. Nested Data Structures
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You can **combine multiple structures** together — useful for real DevOps JSON-like data.
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## 🧠 7. Conversion Between Data Structures
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## 🧠 6. Conversion Between Data Structures
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### Examples:
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## 🧰 8. DevOps Real-world Examples
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## 🧰 7. DevOps Real-world Examples
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### ✅ Example 1: Parse JSON from AWS CLI
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## 🧾 9. Summary
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## 🧾 8. Summary
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| Data Structure | Ordered | Mutable | Allows Duplicates | Example |
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| -------------- | ------------------------------ | ------- | ------------------- | ------------------ |

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