\n \n\n'''\n\nurls = re.findall(r']*href=\"([^\"]+)\"', html, re.IGNORECASE)\nresult = sorted(set(urls))\n","url":"https://www.topfolio.in/practice/insights/py-extract-urls-from-html"},"educationalLevel":"intermediate"}},{"@context":"https://schema.org","@type":"Article","headline":"Extract URLs From HTML Anchors — SQL Candidate Insights & 44.8% Failure Rate Diagnostics","description":"In-depth candidate telemetry and silent bug analysis for \"Extract URLs From HTML Anchors\". Learn why 44.8% of engineers fail on first attempt.","url":"https://www.topfolio.in/practice/insights/py-extract-urls-from-html","datePublished":"2025-01-01T00:00:00Z","dateModified":"2026-09-10T12:22:10.723Z","author":{"@type":"Organization","name":"Topfolio Engineering & Curriculum Team","url":"https://www.topfolio.in"},"publisher":{"@type":"Organization","name":"Topfolio","logo":{"@type":"ImageObject","url":"https://www.topfolio.in/topfolio-mainlogo.jpeg"}},"mainEntityOfPage":{"@type":"WebPage","@id":"https://www.topfolio.in/practice/insights/py-extract-urls-from-html"}},{"@context":"https://schema.org","@type":"FAQPage","mainEntity":[{"@type":"Question","name":"Why do candidates get \"Extract URLs From HTML Anchors\" wrong?","acceptedAnswer":{"@type":"Answer","text":"Operating on a DataFrame slice without `.copy()`, producing `SettingWithCopyWarning`, or using `.apply(axis=1)` with custom Python functions when vectorized NumPy / pandas column operations could run 50x faster with 0 memory overhead."}},{"@type":"Question","name":"What are interviewers actually testing on \"Extract URLs From HTML Anchors\"?","acceptedAnswer":{"@type":"Answer","text":"Interviewers assess whether you write idiomatic, vectorized pandas code instead of slow row-by-row procedural Python loops."}},{"@type":"Question","name":"What is the optimal query construction strategy for Extract URLs From HTML Anchors?","acceptedAnswer":{"@type":"Answer","text":"Step 1 (Filter and Select with .loc): Use boolean masks with `.loc[row_mask, col_list]` to avoid chained assignment warnings. Step 2 (Apply Vectorized Transformation): Use numpy/pandas native operations like `.groupby()`, `.transform()`, or column arithmetic. Step 3 (Sort and Format Index): Sort values and reset index to match the required evaluation output contract."}}]}]

Insights Hub/intermediate/Extract URLs From HTML Anchors

intermediateIntermediate (59th Percentile Difficulty)RegexreHTML ParsingExtractionDeduplicationGoogle

Extract URLs From HTML Anchors

Candidate telemetry diagnostic, error autopsy, and step-by-step query construction walkthrough.

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Extract URLs From HTML Anchors

Candidate Telemetry HUD

Problem Statement

Why 44.8% of Candidates Fail This

What Tech Interviewers Are Testing

Step-by-Step Optimal Query Construction

Filter and Select with .loc

Apply Vectorized Transformation

Sort and Format Index

Common Candidate Wrong Queries & Why They Fail

Procedural Row Iteration

Core SQL Anti-Patterns to Avoid

SettingWithCopyWarning & Chained Indexing

Forgetting reset_index() After GroupBy

Iterative For-Loops vs Vectorized Arithmetic

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