What are the main data structures provided by NumPy?
The question is about NumPy
Answer:
NumPy’s main data structures include:
1. ndarray: The core structure, a multi-dimensional, homogeneous array supporting various numerical types.
2. Masked arrays: Arrays that allow specific elements to be marked as invalid or ignored in computations.
3. Structured arrays: Arrays that store complex data types, enabling fields with names and heterogeneous data types in a single array. These structures enable efficient storage and manipulation of numerical data in multiple dimensions.
Developers who got their wings at:
Testimonials
Gotta drop in here for some Kudos. I’m 2 weeks into working with a super legit dev on a
critical project, and he’s meeting every expectation so far 👏
Francis Harrington
Founder at ProCloud Consulting, US
I recommend Lemon to anyone looking for top-quality engineering talent. We previously
worked with TopTal and many others, but Lemon gives us consistently incredible
candidates.
Allie Fleder
Co-Founder & COO at SimplyWise, US
I've worked with some incredible devs in my career, but the experience I am having with
my dev through Lemon.io is so 🔥. I feel invincible as a founder. So thankful to you and
the team!
Michele Serro
Founder of Doorsteps.co.uk, UK
Ready-to-interview vetted NumPy developers are waiting for your request