FixedSizeArrays.jl - What Array Probably Should Have Been
The Julia Programming Language via YouTube
AI, Data Science & Cloud Certificates from Google, IBM & Meta
Free courses from frontend to fullstack and AI
Overview
Google, IBM & Meta Certificates – 40% Off
One plan covers every Professional Certificate on Coursera.
Unlock All Certificates
Explore the FixedSizeArrays.jl package in this 11-minute conference talk that examines an alternative approach to Julia's built-in Array type. Learn how FixedSizeArrays provide a middle ground between standard Arrays and StaticArrays by maintaining immutable dimensions without encoding size information in the type system. Discover the performance optimizations and compiler benefits that emerge from fixed-size constraints, particularly in linear algebra applications where array resizing is unnecessary. Understand the design philosophy behind this package and its potential for inclusion in Julia Base, while examining practical use cases where the trade-off between flexibility and performance optimization makes FixedSizeArrays the superior choice for numerical computing workflows.
Syllabus
FixedSizeArrays.jl: What Array probably should have been | Giordano, Smith, Sajko
Taught by
The Julia Programming Language