Lecture - 01 - 11.1.2 | 11. More about range() | Data Structures and Algorithms in Python
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Introduction to `range` Function

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Teacher
Teacher

Today, we're going to talk about the `range` function in Python, which is really useful for generating sequences of numbers!

Student 1
Student 1

What does it mean when we say `range(j)`?

Teacher
Teacher

`range(j)` generates numbers from 0 up to `j-1`! It’s like slicing where the starting point is implied to be 0.

Student 2
Student 2

So, if I write `range(5)`, will it give me 0, 1, 2, 3, 4?

Teacher
Teacher

Exactly! Remember, it's all about stopping before the upper bound.

Student 3
Student 3

That’s cool! But what if I want to start from a different number?

Teacher
Teacher

Good question! For starting at a specific number, you would use `range(i, j)`, where `i` is the starting point and `j` is the upper limit.

Student 1
Student 1

Got it! So, `range(1, 5)` gives us 1, 2, 3, 4?

Teacher
Teacher

Yes! You're catching on quickly.

Teacher
Teacher

To summarize, `range(j)` gives us numbers starting from 0, and `range(i, j)` gives us from `i` to `j-1`.

Using Steps in Ranges

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Teacher
Teacher

Now, let's build on what we learned about `range`. What if we want to step through the sequence by a number other than 1?

Student 4
Student 4

You mean like, skip every other number?

Teacher
Teacher

Exactly, we can use the third argument, `k`, with `range(i, j, k)` to specify the step.

Student 2
Student 2

So in `range(1, 10, 2)`, we would get 1, 3, 5, 7, 9?

Teacher
Teacher

Correct! And if `k` is negative, we can count down as well. Like `range(10, 0, -2)`, which would give us 10, 8, 6, 4, 2.

Student 3
Student 3

What happens if the starting point is less than the endpoint with a negative step?

Teacher
Teacher

You’d get an empty sequence! It emphasizes the importance of not crossing the bounds.

Teacher
Teacher

In summary, `range(i, j, k)` allows you to customize the stepping of sequences based on your needs!

Distinguishing Between Python 2 and Python 3

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Teacher
Teacher

Let’s touch on an important distinction. In Python 2, the output of `range` is a list, while in Python 3, it’s a sequence type.

Student 4
Student 4

Does that mean I can’t use it like a list in Python 3?

Teacher
Teacher

You can use it in loops like a list, but you can't manipulate it directly like one. To convert it to a list, you need to use the `list()` function.

Student 1
Student 1

So, if I want a list of numbers from 0 to 5 in Python 3, I would do `list(range(6))`?

Teacher
Teacher

Exactly! This casts the range into a list.

Teacher
Teacher

In quick summary, remember the distinction in output from Python 2 to Python 3 and utilize `list()` for converting ranges.

Practical Applications of `range` Function

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Teacher
Teacher

Finally, let’s discuss how the `range` function is practically applied in coding. Why do you think `range` is useful when working with lists?

Student 2
Student 2

It helps in iterating through the indices of the list easily!

Teacher
Teacher

Right! Suppose we want to print every element in a list. We can loop over the indices using `range(len(my_list))`.

Student 3
Student 3

So if I had `my_list = ['a', 'b', 'c']`, I'd write `for i in range(len(my_list)):`?

Teacher
Teacher

Exactly, and then you can access the elements like `my_list[i]`!

Teacher
Teacher

To summarize, using `range` with lists facilitates indexing and is critical for various iterations.

Introduction & Overview

Read a summary of the section's main ideas. Choose from Basic, Medium, or Detailed.

Quick Overview

This section elaborates on the `range` function in Python, explaining how it generates sequences with various parameters.

Standard

The section discusses the range function in Python, detailing its functionality with one, two, and three arguments. It covers generating sequences, including the default behavior, stepping through sequences, counting down, and distinguishing Python 2 from Python 3 functionalities.

Detailed

In this section, we delve into the range function in Python, which creates a sequence of integers. By using one argument, range(j), we generate values from 0 to j-1. With two arguments, range(i, j), it provides values from i to j-1. A three-argument form, range(i, j, k), allows for the creation of sequences that step by k, enabling both ascending and descending sequences based on positive or negative values. The distinction between Python 2 and 3 is highlighted, with the significance that in Python 3, range produces a special sequence object instead of a list. To convert this sequence into a list, the list() function is employed. Additionally, this section emphasizes understanding how range helps in indexing lists conveniently, adhering to Python's zero-based indexing.

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Audio Book

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Understanding the `range()` Function

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We have seen the range function which produces a sequence of values. In general, if we write range(i, j), we get the sequence i, i + 1 up to j - 1. Quite often we want to start with 0. So, if we give only one argument, if we just write range(j), this is seen as the upper bound and the lower bound is 0.

Detailed Explanation

The range() function in Python generates a sequence of numbers. When given two arguments, it starts at the first argument, i, and ends before the second argument, j. If only one argument is provided, j, it assumes 0 as the starting point. For instance, range(5) produces the numbers 0, 1, 2, 3, 4 because it defaults to starting from 0.

Examples & Analogies

Think of range(j) like setting up a starting line at 0 in a race that ends just before j. If j is 5, it means you only run to position 4, as you can’t step on the finish line.

Customizing the Step Size with `range()`

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Often we may want to generate a sequence where we skip by a value other than 1. We do this by giving a third argument. The third argument tells the range() function to skip every k items.

Detailed Explanation

The third argument in the range() function allows us to set a step value. If we want to generate a sequence like i, i + k, i + 2k,..., we can specify this value. For example, range(0, 20, 2) would yield 0, 2, 4, 6,..., 18 by skipping every 2 numbers. If k is negative, it can also generate a countdown sequence.

Examples & Analogies

Imagine you're counting every second person in a line for a game. If you are at position 0 and want to count every second person, you would jump from 0 to 2, then 4, and so forth. This lets you skip those in between!

Counting Down with `range()`

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Having a step also allows us to count down. If we say range(i, j, -1), we will start with the value which is bigger than the final value, producing a decreasing sequence.

Detailed Explanation

Using a negative step in range() allows you to create a list of decreasing numbers. For example, range(12, 1, -3) generates the sequence 12, 9, 6, 3. The rule is that you start at i and keep subtracting 1 until reaching a point where the next number would cross j. It stops at 3, as going further would go below 1.

Examples & Analogies

If you were counting down from 12 to 1 while skipping every three numbers, you would land at 12, then 9, then 6, then finally 3β€”like a countdown timer where you can choose how rapidly to drop!

Common Pitfalls with `range()`

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It is often confusing to new programmers that range(i, j) is from i to j - 1, not to j itself. This is a design choice to make list processing easier.

Detailed Explanation

A common misconception is that the range() function includes the number you provide as j, but it doesn’t. It generates numbers up to, but not including, j. For example, range(0, 5) gives 0, 1, 2, 3, 4, allowing easy indexing of lists in Python where indexing starts at 0. This simplifies looping through lists since the last valid index is always n - 1, where n is the length of the list.

Examples & Analogies

Think of the range() function as an elevator that only opens its doors on your floor but never beyond that. If you are on floor 5, the elevator can take you to 4, but never directly to 5β€”you have to exit before reaching the final floor.

Difference Between `range` and List

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In Python 3, range() does not produce a list but a sequence of values, which is why certain manipulations that work on lists don’t work on ranges.

Detailed Explanation

Unlike Python 2, where range() returned a list of numbers, Python 3's range() returns a type called a 'range object', which generates numbers on-the-fly. This difference means you cannot manipulate the range output like a list (e.g., you cannot append or modify it). To convert it into a list, you need to explicitly create it using list(range(...)).

Examples & Analogies

Imagine going to a bakery that can prepare a specific order of cupcakes only upon request (like using range() in Python 3). You can't pick individual cupcakes off the rack (like elements in a list) until you place a bulk order, which is done by wrapping your request in a different container, such as calling list(). This way, you get your batch as a list.

Type Conversion in Python

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It is possible to use range() to generate a list using the function list(). For example, list(range(0, 5)) gives you [0, 1, 2, 3, 4].

Detailed Explanation

To convert the output of range() to a list, you can wrap range() in the list() function. This allows you to work with sequences generated from range() as if they were standard lists. For instance, if you want integers from 0 to 4, you can create a list as follows: my_list = list(range(0, 5)).

Examples & Analogies

Think of list(range()) as using a recipe to create a dish. The range() function is the ingredient list, and the list() function is when you mix all the ingredients together to serve them in a plate (the list). Only then can you proceed to enjoy or manipulate it as you like.

Definitions & Key Concepts

Learn essential terms and foundational ideas that form the basis of the topic.

Key Concepts

  • Using range(j): Generates numbers from 0 to j-1.

  • Using range(i, j): Generates numbers from i to j-1.

  • Using range(i, j, k): Generates numbers from i to j-1, stepping by k.

  • Python 2 vs Python 3: Different outputs for the range function.

Examples & Real-Life Applications

See how the concepts apply in real-world scenarios to understand their practical implications.

Examples

  • range(10) results in: 0, 1, 2, 3, 4, 5, 6, 7, 8, 9

  • range(2, 10) results in: 2, 3, 4, 5, 6, 7, 8, 9

  • range(5, 0, -1) results in: 5, 4, 3, 2, 1

Memory Aids

Use mnemonics, acronyms, or visual cues to help remember key information more easily.

🎡 Rhymes Time

  • Range, range, from start to end, with steps in between, my coding friend.

πŸ“– Fascinating Stories

  • Imagine a number line where you can hop from one number to another. If I hop by 2 each time, I hit 0, then 2, then 4, before stopping at 8!

🧠 Other Memory Gems

  • For ranges remember: Start, End, and Step (SES) to calculate your way.

🎯 Super Acronyms

R.E.S.T - for Range, End, Step, and Target!

Flash Cards

Review key concepts with flashcards.

Glossary of Terms

Review the Definitions for terms.

  • Term: range function

    Definition:

    A built-in Python function that generates a sequence of numbers.

  • Term: Step

    Definition:

    The increment or decrement between numbers in a generated sequence with the range function.

  • Term: Index

    Definition:

    The position of an element in a list, starting from 0 in Python.

  • Term: Python 2 vs. Python 3

    Definition:

    The versions of Python where the range function output differs, returning a list in Python 2 and a sequence in Python 3.