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Python FundamentalsTopic 41 of 77
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Join Tuples

Comprehensive Joining Techniques

Since tuples are immutable, joining them always creates a new tuple. Common techniques include concatenation, repetition, chaining, unpacking, and custom generator logic.

Example
t1 = (1, 2, 3)
t2 = (4, 5, 6)

# Concatenation
combined = t1 + t2  # (1, 2, 3, 4, 5, 6)

# Repetition
doubled = t1 * 2  # (1, 2, 3, 1, 2, 3)

# itertools.chain
from itertools import chain
chained = tuple(chain(t1, t2))  # (1, 2, 3, 4, 5, 6)

# Unpacking
unpacked = (*t1, *t2)  # (1, 2, 3, 4, 5, 6)

# Custom generator (Cartesian product)
custom = tuple(x * y for x in t1 for y in t2)

print(combined)
print(doubled)
print(chained)
print(unpacked)
print(custom)
Output
(1, 2, 3, 4, 5, 6)
(1, 2, 3, 1, 2, 3)
(1, 2, 3, 4, 5, 6)
(1, 2, 3, 4, 5, 6)
(4, 5, 6, 8, 10, 12, 12, 15, 18)

Performance Analysis

Different methods have different trade-offs. Concatenation and unpacking are straightforward but create intermediate tuples. itertools.chain is memory efficient since it iterates instead of building new tuples until explicitly converted.

Example
from timeit import timeit

setup = "t1 = tuple(range(1000)); t2 = tuple(range(1000,2000))"

print("Concatenation:", timeit("t1 + t2", setup))
print("itertools.chain:", timeit("tuple(chain(t1,t2))", "from itertools import chain; " + setup))
print("Unpacking:", timeit("(*t1, *t2)", setup))
ℹ️ Note: For very large tuples, itertools.chain() is often preferable because it avoids creating multiple intermediate objects until the tuple is realized.

Advanced Joining Patterns

Tuples can be joined in more complex ways, such as flattening nested structures, conditionally selecting elements, or mixing with other sequence types.

Example
# Flatten nested tuples
nested = ((1, 2), (3, (4, 5)))

def flatten(t):
    for item in t:
        if isinstance(item, tuple):
            yield from flatten(item)
        else:
            yield item

flat = tuple(flatten(nested))  # (1, 2, 3, 4, 5)

# Conditional joining
evens = tuple(x for x in range(10) if x % 2 == 0)
odds = tuple(x for x in range(10) if x % 2 != 0)
combined = (*evens, *odds)

print(flat)
print(combined)
Output
(1, 2, 3, 4, 5)
(0, 2, 4, 6, 8, 1, 3, 5, 7, 9)

Real-world Applications

Tuple joining is useful in many scenarios, from data processing to system configuration. The table shows some typical applications.

ApplicationPatternExample
Data PipelinesChunk processingcombined = (*chunk1, *chunk2)
ConfigurationLayered settingsfinal = (*defaults, *overrides)
Game StatesState compositionworld = (*entities, *particles)
Math OperationsVector mathresult = (*vec1, *vec2)
API ResponsesPaginationall_items = (*page1, *page2)
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Python FundamentalsTopic 41 of 77
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