NumPy - Array Data TypesWhat is the default string type used by NumPy when creating an array from Python strings?AObject typeBByte string type (numpy.bytes_)CPython native str typeDUnicode string type (numpy.str_)Check Answer
Step-by-Step SolutionSolution:Step 1: Understand NumPy string typesNumPy uses numpy.str_ for Unicode strings by default when creating arrays from Python strings.Step 2: Check default behaviorWhen you create an array from Python strings, NumPy converts them to numpy.str_ type, which supports Unicode.Final Answer:Unicode string type (numpy.str_) -> Option DQuick Check:Default string type = Unicode string type (numpy.str_) [OK]Quick Trick: NumPy defaults to Unicode strings for Python str inputs [OK]Common Mistakes:Confusing byte strings with default string typeAssuming Python native str is used inside NumPy arraysThinking object dtype is default for strings
Master "Array Data Types" in NumPy9 interactive learning modes - each teaches the same concept differentlyLearnWhyDeepVisualTryChallengeProjectRecallTime
More NumPy Quizzes Aggregation Functions - Aggregation along specific axes - Quiz 11easy Aggregation Functions - np.std() and np.var() for spread - Quiz 12easy Array Manipulation - np.split() for dividing arrays - Quiz 5medium Array Operations - Why vectorized operations matter - Quiz 15hard Broadcasting - 1D and 2D broadcasting - Quiz 6medium Broadcasting - Broadcasting errors and debugging - Quiz 5medium Creating Arrays - np.full() for custom-filled arrays - Quiz 15hard Indexing and Slicing - Fancy indexing with integer arrays - Quiz 15hard Indexing and Slicing - Single element access - Quiz 5medium Indexing and Slicing - Slicing with start:stop:step - Quiz 6medium