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Results for “algorithms”

6 prompts

Explain the Big O time and space complexity of this code step by step, as if teaching a junior developer. Point out the most expensive part and how input size affects it. Code: [paste code]

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Coding & Development

Explain Big O with my code

Understand time complexity using your own code.

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Explain [data structure, e.g. a hash map / heap / trie] for a [level] developer. Include a text diagram, how operations work with time complexity, a clean implementation in [language], and when to use it in real projects.

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Coding & Development

Data structure explanation with code

Explains a data structure with visuals and an implementation.

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This function is too slow for large inputs ([input size]). Analyse its time and space complexity, propose a more efficient approach, implement it, and show a quick benchmark plan. Code: [paste code]

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Coding & Development

Algorithm optimisation

Speeds up an algorithm by improving its complexity.

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Analyse the time and space complexity of this code. ``` [paste] ``` Explain the Big-O line by line in simple terms, identify the bottleneck, describe what happens with 10× and 1000× more data, and suggest a more efficient approach if one exists, with code.

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Coding & Development

Explain the complexity of my code

Understand your code's time and space complexity and where it will slow down at scale.

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Act as a senior engineer who mentors candidates. Target role and level: [e.g. mid-level backend engineer] Target companies: [types] Interview date: [date] Strengths and weak spots: [details] Hours per week: [hours] Create a study plan covering data structures and algorithms (topics by priority), system design, languag…

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Career & Jobs

Technical interview prep plan for developers

A week-by-week study plan for coding, system design and behavioural rounds, tailored to your target companies.

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Act as an algorithms tutor. Problem: [paste problem statement] Language: [language] Explain: 1. The problem in simple words with a small example 2. A brute-force approach and its complexity 3. The key insight that leads to the optimal approach 4. Step-by-step walkthrough on the example 5. Clean, commented code 6. Time…

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Coding & Development

Coding challenge explained step by step

Understand algorithm problems: intuition, brute force, optimal approach, complexity and clean code.

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