Day 7 of My 30-Day Coding Challenge on HackerRank

Day 7 was all about strings and loops—combining two important concepts to solve a character-based problem.

Today’s challenge focused on separating the even-indexed and odd-indexed characters of a string.

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Problem Overview

Today’s challenge focused on:

• Understanding string indexing

• Using loops with strings

• Separating characters based on position

• Handling multiple test cases

We were given a string s and asked to print:

• All characters at even indices

• All characters at odd indices

Both outputs had to be printed on the same line separated by a space.

Note: Indexing starts from 0, so index 0 is even.

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My Solution

t = int(input())

for _ in range(t):
    s = input()
    
    even = s[::2]
    odd = s[1::2]
    
    print(even, odd)

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What I Did Today

I learned how to:

• Access string characters using indexes

• Use slicing in Python

• Handle multiple inputs using loops

• Separate data based on conditions

Here’s the logic I followed:

1. Read number of test cases
2. For each string:
3. Get characters at even indexes
4. Get characters at odd indexes
5. Print both separated by space

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🧠 What I Learned

Today’s key takeaways:

• Strings can be accessed like arrays using indexes

• Python slicing makes problems easier

• s[::2] gets even-indexed characters

• s[1::2] gets odd-indexed characters

• Combining loops + strings is powerful

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Challenges Faced

• Understanding index positions clearly

• Remembering that indexing starts at 0

• Formatting output exactly as required

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Why This Problem Matters

This problem helps in understanding:

• String traversal techniques

• Data filtering based on position

• Efficient use of slicing in Python

These concepts are useful in text processing and coding interviews.

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Sample Run

Input:

2
Hacker
Rank

Output:

Hce akr
Rn ak

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Plan for Day 8

• Improve problem-solving speed

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💬 Final Thoughts

Day 7 was a fun challenge that showed how useful string indexing can be.

Simple concepts like loops and slicing can solve problems efficiently when used correctly.

Let’s keep learning and improving