• YourPythonFun Profile Picture

    Fun with Python 🐍 @YourPythonFun

    8 months ago

    🧵1/ Let's dive into Python collections! 🐍 Today we're exploring four powerful types: Lists, Tuples, Sets, and Dictionaries. Each offers unique features for organizing data. Follow along as we break them down! #Python #Coding @YourPythonFun

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    Fun with Python 🐍 @YourPythonFun

    8 months ago

    2/ Lists 📜 Lists are ordered, mutable sequences. They're perfect for storing items in a specific order and allowing changes. Common operations: - Add: append() - Remove: remove() - Access: index #0️⃣ #PythonLists

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    Fun with Python 🐍 @YourPythonFun

    8 months ago

    3/ Example of adding an item: Code in action: 📸 Notice how using append() adds "date" to our list of fruits? 🍏🍌🍒 #CodeExample #PythonLists

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    Fun with Python 🐍 @YourPythonFun

    8 months ago

    4/ Tuples 🗂️ Tuples are like lists but immutable. Once created, they can't be changed. Ideal for fixed data. Common uses: - Days of the week - Coordinates #PythonTuples

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    Fun with Python 🐍 @YourPythonFun

    8 months ago

    5/ Sets 🔢 Sets are unordered collections of unique items. Great for when uniqueness is crucial. Key functions: - Add: add() - Remove: discard() Note: No duplicates allowed! 🚫 #PythonSets

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  • YourPythonFun Profile Picture

    Fun with Python 🐍 @YourPythonFun

    8 months ago

    6/ Dictionaries 📖 Dictionaries store data as key-value pairs. Perfect for representing structured data like JSON. Operations: - Add: dict[key] = value - Remove: del dict[key] #PythonDictionaries

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  • YourPythonFun Profile Picture

    Fun with Python 🐍 @YourPythonFun

    8 months ago

    7/ Example of adding a key-value pair: Code in action: 📸 See how easy it is to extend our dictionary? 🗽 #CodeExample #PythonDictionaries

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