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Python Tuples

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🐍 Python Tuples: The Chill Cousins of Lists 🎉​

In Python-land, a tuple is like that chill friend who doesn’t change their mind. Think of it as a list… but with a “do not disturb” sign! 🚫✏️

Tuples are:

  • ✅ Immutable (Once you make it, you can't shake it!)
  • 📚 Ordered (It remembers its position)
  • 🎭 Heterogeneous (Mix 'n match any data types!)
  • 🔢 Indexed (Starts at 0, as usual)
  • 🥚 (Optionally) Parenthesized (Parentheses are optional, but preferred – like wearing socks with shoes)
  • ⚡ Fast when looping (because they’re low-maintenance)

Tuples are great when you want to pack related stuff together like... employee info! 👩‍💼👨‍💼

🎬 1. Creating a Tuple​

Let’s roll!

tuple1 = ()  # empty tuple
tuple2 = (1, "2", 3.0)
tuple3 = 1, "2", 3.0  # parentheses are optional

🎯 1.1. Tuple with One Item​

Beware: Without a trailing comma, Python thinks you're just being dramatic with brackets!

not_a_tuple = ("hello")      # Just a string
tuple_with_one = ("hello",)  # Now that’s a tuple!

🎁 1.2. Nested Tuples​

Tuples within tuples — like inception but in Python.

nested_tuple = ("hello", ("python", "world"))

🔍 2. Accessing Tuple Items​

Use indices inside square brackets. Python’s counting starts at zero. Let’s do a mini treasure hunt! 🗺️

Tuple = ("a", "b", "c", "d", "e", "f")

print(Tuple[0])    # 'a'
print(Tuple[-1])   # 'f'
print(Tuple[0:3])  # ('a', 'b', 'c')

Tuple = ("a", "b", "c", ("d", "e", "f"))
print(Tuple[3][1])  # 'e'

🔄 3. Looping through Tuples​

Simple as pie 🥧

Tuple = ("a", "b", "c")

for item in Tuple:
    print(item)

❓ 4. Existence Check​

Check if an item exists with in or not in – your tuple’s bouncer at the club 🚷

Tuple = ("a", "b", "c")

if "a" in Tuple:
    print("Yup, 'a' is in the house!")

if "x" not in Tuple:
    print("'x' got denied at the tuple-door.")

🧼 5. Sorting a Tuple​

Want to sort your tuple? Use sorted() to keep things neat (note: returns a list, not a tuple!).

Tuple = ("a", "c", "b", "e", "d")

sortedTuple = sorted(Tuple)
print(sortedTuple)  # ['a', 'b', 'c', 'd', 'e']

🔁 6. Repetition & Concatenation​

Multiply or add tuples like a magician 🎩✨

Tuple = ("a", "b")
print(Tuple * 3)  # ('a', 'b', 'a', 'b', 'a', 'b')

Tuple1 = ("a", "b")
Tuple2 = ("c", "d")
print(Tuple1 + Tuple2)  # ('a', 'b', 'c', 'd')

🎁 7. Packing & Unpacking Tuples​

Packing: wrapping gifts 🎁
Unpacking: opening them 🎉

Tuple = ("a", "b", "c")  # Packing

x, y, z = Tuple          # Unpacking
print(x)  # 'a'
print(y)  # 'b'
print(z)  # 'c'

⚠️ Warning: Mismatched items will throw a tantrum (a.k.a. ValueError)

👩‍🔬 8. Named Tuples (Supercharged Tuples!)​

NamedTuples from collections are like tuples with name tags! 💼

import collections

Record = collections.namedtuple('Record', ['id', 'name', 'date'])

r1 = Record('1', 'RecordName', '12/12/2020')

print(r1[0])       # '1'
print(r1.name)     # 'RecordName'

🛠️ 9. Tuple Utility Methods​

Let’s bring out the tuple toolbox 🧰

✅ 9.1 any()​

print(any(()))         # False
print(any((1,)))       # True

🏆 9.2 min() & 9.3 max()​

Tuple = (4, 1, 9)
print(min(Tuple))      # 1
print(max(Tuple))      # 9

📏 9.4 len()​

print(len(Tuple))      # 3

➕ 9.5 sum()​

print(sum(Tuple))      # 14

🎉 10. Conclusion​

Tuples are:

  • 🧱 Immutable (can’t be changed)
  • 🧠 Ordered and Indexed
  • 🎨 Heterogeneous
  • 🚀 Faster for iteration

NamedTuples = Tuples + Superpowers.
Tuples = Lists but stricter, faster, and cooler 😎

Happy Tuple-ing! 🐍🎈