Python’s rindex() Method: Unlock Efficient Substring Searching Discover the power of Python’s often overlooked rindex() method, which finds the highest index of a substring within a string. Learn its syntax, how it works, and see real-world examples to master efficient string manipulation in Python.

Unlock the Power of Python’s rindex() Method

When working with strings in Python, finding the right tool for the job can make all the difference. One often overlooked but incredibly useful method is rindex(), which allows you to search for a substring within a larger string and return its highest index.

What Sets rindex() Apart

So, what makes rindex() special? For starters, its syntax is straightforward: rindex(sub, start, end). The sub parameter is the substring you’re searching for, while start and end are optional parameters that define the range within the string to search.

How rindex() Works

When you call rindex() on a string, it searches for the specified substring and returns the highest index where it’s found. If the substring doesn’t exist, rindex() raises a ValueError exception. This is where it differs from the similar rfind() method, which returns -1 when the substring is not found.

Real-World Examples

Let’s see rindex() in action. In our first example, we’ll use rindex() without specifying a start and end range:


str = "Hello, World!"
print(str.rindex("World")) # Output: 7

As you can see, the output is 7, which is the highest index where “World” is found in the string.

In our second example, we’ll specify a start and end range:


str = "Hello, World! Hello, Universe!"
print(str.rindex("Hello", 0, 15)) # Output: 0

Here, we’re searching for “Hello” within the range of indices 0 to 15, and the output is 0, which is the highest index where “Hello” is found within that range.

Mastering Python’s String Methods

With rindex() in your toolkit, you’ll be able to tackle even the most complex string manipulation tasks with ease. Remember to explore other powerful string methods like index() and rfind() to take your Python skills to the next level.

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