seniorNumPy
How does NumPy handle memory layout (C vs Fortran order)?
Updated May 17, 2026
Short answer
NumPy stores arrays in row-major (C) or column-major (Fortran) order.
Deep explanation
C-order stores rows contiguously, improving cache performance for row-wise operations. Fortran-order stores columns contiguously, beneficial for column-major algorithms. Memory layout affects performance and interoperability with external libraries.
Unlock with a Pro subscription to view this section.
View pricingReal-world example
No real-world example available yet.
Unlock with a Pro subscription to view this section.
Upgrade to ProCommon mistakes
No common mistakes listed yet.
Unlock with a Pro subscription to view this section.
Upgrade to ProFollow-up questions
No follow-up questions available yet.
Unlock with a Pro subscription to view this section.
Upgrade to Pro