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Quantum EngineeringYear 0: Mathematical FoundationsMonth 10Day 254

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Year 0·Month 10·Week 1

Day 254: NumPy Arrays — Creation and Indexing

Day 254 of 2,016~19 min read

Learning Objectives

  • •**Create arrays** using `np.array`, `zeros`, `ones`, `linspace`, `arange`, `meshgrid`
  • •**Understand dtypes** and choose appropriate precision for physics applications
  • •**Reshape and transpose** arrays without copying data
  • •**Apply slicing syntax** including multi-dimensional and negative indices
  • •**Use fancy indexing** with boolean masks and integer arrays
  • •**Recognize views vs copies** to avoid subtle bugs
  • •**Discretize continuous functions** onto numerical grids

Today's Schedule (7 hours)

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On this page

1 NumPy Array FundamentalsMulti-dimensional Arrays2 Array Creation Functions3 Data Types for Physics4 Memory Layout and Strides5 Indexing and Slicing6 Fancy Indexing7 Reshaping and Transposing8 Views vs CopiesQuantum Mechanics ConnectionDiscretizing Wave FunctionsThe Discretized Inner ProductOperators as Matrix Operations
Day 253Day 254 of 2,016Day 255