FreePremium38 ProblemsPython
Pandas Apply & Transform Practice with Built-In Visualizer
Master pandas apply(), map(), applymap(), and lambda functions for custom row-wise and column-wise transformations. Essential for feature engineering and data wrangling in data science workflows.
38
Python Problems
Difficulty Breakdown
38 problems2 Easy(5%)
19 Medium(50%)
17 Hard(45%)
0 Expert(0%)
Skills You'll Practice
48 skillsadtechaggapplybankingcalculationcategorizationclassificationcomplex logiccomputed columnconditionaldata bucketingderived ratiofillnafilteringfintechfood deliverygroupbyhealthcareinner joinlambdalodginglogisticsmapmergemobilitymulti tablenamed aggnp selectnp wherepaymentspd cutperformancereal estateretailrow wisesaasscoringsingle tablesocialsort valuesstreamingstring manipulationtelecomthree tableto datetimetransformationtwo tablevectorized
All Problems38 total
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Practice with 1,625 problems across SQL and Python — window functions, joins, pandas, and more.
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