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Preparing courses, live labs, and learning resources.सामग्री लोड हो रही है, कृपया प्रतीक्षा करें...
Preparing courses, live labs, and learning resources.सामग्री लोड हो रही है, कृपया प्रतीक्षा करें...
In Python, writing clean and readable code is a core philosophy. When iterating through collections, beginner programmers often resort to manual indexing or index counters:
Python provides two built-in standard looping powerhouses: enumerate() and zip() (documented in Section 5.6 of the official Python Tutorial).
enumerate() Functionenumerate() takes an iterable (like a list or tuple) and yields pairs containing the index and the item in each iteration.
start=):By default, enumerate() starts counting at 0. You can specify any starting number using the optional start argument:
zip() Function for Parallel IterationWhen you have two or more related sequences and want to iterate over them simultaneously in lockstep, use zip():
strict=TrueBy default, when sequences of unequal lengths are zipped, zip() silently stops as soon as the shortest sequence runs out:
strict=True:If you expect lists to be equal and want to guard against silent bugs, pass strict=True:
You can invert a zipped list back into separate tuples using the argument unpacking operator *:
enumerate() function return in each iteration?enumerate() start counting from 1 instead of 0?zip(list_a, list_b), what happens if list_a has 5 items and list_b has 3 items?zip() to raise a ValueError if sequence lengths differ?list(zip([1, 2], ['a', 'b']))?In the next lesson, we will consolidate our loop knowledge with Project: Multiplication Table Generator (13: Loops).
👉 Continue to Next Lesson: Project: Multiplication Table Generator →
Continue learning with hands-on practice, examples, and exercises in the upcoming topic.
| Previous Lesson | Next Lesson |
|---|---|
| Set Comprehension | Project: Multiplication Table Generator |
Test your understanding of this lesson with 5 questions. Each question has one correct answer.