Python Collections Practice

This repository contains beginner-friendly practice code for mastering Python Collections, which are essential building blocks in any Python-based data analytics or software development workflow.

🔍 Topics Covered

📋 Lists

• List creation and slicing
• Iteration using for, while, and list comprehensions
• List functions: append(), insert(), remove(), pop(), copy(), extend(), sort(), clear()
• Problem-solving with lists

📌 Tuples

• Tuple basics and immutability
• Indexing, slicing, and iteration
• Conversion between tuples and lists
• Tuple methods: index(), count()

📂 Dictionaries

• Key-value pair structure
• Accessing, updating, and removing elements
• Dictionary methods: get(), items(), keys(), values(), pop(), popitem(), setdefault(), update(), copy()
• Nested dictionaries
• Dictionary-based problem solving

🧾 JSON

• Working with JSON in Python
• json.loads(), json.dumps(), json.dump()
• Pretty printing and accessing nested JSON values

🔁 Sets

• Set creation and uniqueness
• Common operations: add(), remove(), discard(), pop(), clear()
• Set functions: union(), intersection(), difference(), symmetric_difference()
• Checking subsets and supersets
• Set-based problems

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🧠 Use Cases

• Data cleaning and manipulation
• Basic text processing
• Preparing data structures for analytics tasks
• Building a foundation for libraries like Pandas

🚀 Getting Started

1. Clone the repo:

   git clone https://github.com/Ishmal793/Lists-Tuples-Dictionaries-JSON-Sets/blob/main/lists%2C_Tuples%2C_dictionary%2C_sets.ipynb