Hello Everyone!
The last day of Week 10 was dedicated to Arrays and Two-Pointer Techniques and involved solving missions that needed efficient scanning and rearrangement. These problems focused on both clarity and ways to make the work as efficient as possible, which made this the perfect end to a week focusing on putting polish on base level abilities.
How the Day Went
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String Compression MD
– Compact a string in place by swapping occurrences of a character with that character followed by the quantity of times it repeats next to the character in the string.-
Approach:
- Used two pointers:
writepointer to which needs to update the compressed string.readcursor to iterate in the original string and tally character sonscutive occurrence. Added the character and if it were more than 1 at the position of the write pointer and went to the next sequence.
- Used two pointers:
- What Stood Out: It was quite satisfying to build the compressed string in real-time with clear evidence of how efficient traversal made this possible.
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Approach:
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Move Zeroes (Easy Difficulty)
Sort an array in a way that all zeros are placed to the end with a change of order of non-zeros.-
Approach:
- Used a two-pointer technique:
nonZeroPospointer was used to keep the track of the position for next non-zero element. Here, the –ipointer was moved purposefully through the array, placing non consecutive to zero elements at their right position. In that manner ensured an in-place solution thus did not require additional space usage.
- Used a two-pointer technique:
- What Stood Out: This was like trying to arrange a disorderly array and turn it into something sane when zeros went to the other extreme of the set while the other figure indicators remained in place.
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Approach:
Why Today Was Special
Efficient Two-Pointer Techniques:
Both problems demonstrated how we can have two pointers for solving reorganization and traversal efficiently.In-Place Modifications:
It made the point for space efficiency in competitive programming because the input was modified directly by the solution with no additional space allowed.Step-by-Step Visualization:
Following through the steps of integrating and eliminating pointers and seeing the changes of the string and array provided easy steps and satisfaction.
Key Takeaways
Two Pointers Simplify Operations:
Such tasks as Move Zeroes show people that two-pointer methods help rationalize the realignment of arrays and lists.In-Place Solutions Are Powerful:
Solving the String Compression problem without extra space stresses the efficient use of existing data structures.Divide Problems into Logical Steps:
Avoiding graduations or steps that might confuse a viewer is important, which is why breaking tasks into phases like traversal, counting, and updating are so useful.
Reflections
The String Compression was yet another great opportunity to solve a problem using traversal and in-place updates The Move Zeroes helped understand that sometimes it may be even more efficient to reorganize the data. Altogether, they finishing working on Week 10 that was devoted to precision and optimization – and the proof of the pudding is that extremely effective and sometimes life-changing techniques might be incredibly simple.
What’s Next?
As we end Week 10, I hope to have a detailed plan to follow in Week 11. The attention will be paid to Dynamic Programming, Advanced Graph Problems, and Greedy Algorithms, which should provide more serious and compelling tasks to extend the practice.
I hope you have enjoyed our journey and thank you for choosing to be here. It is important that we all keep on learning, solving and improving together.
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