NumPy
NumPy is an AI tool in the Coding & Development category. Useful for python, arrays, scientific computing, linear algebra, vectorization.
The fundamental package for scientific computing with Python: N-dimensional arrays stored as one contiguous block of memory, and math on the whole array that runs in compiled C.
O pacote fundamental de computação científica em Python: arrays de N dimensões guardados num bloco só de memória, e contas no array inteiro que rodam em C compilado.
How it works
A film by Sapiens Sintéticos · 1:11
AITag Review
NumPy is the floor most of Python's number crunching stands on: an image, a sound or a 3D pose becomes a table of numbers, and NumPy keeps that table packed in one row of memory, every item the same size. That is why a line like a - b runs as a single loop in compiled C instead of Python checking each number on the way. At Sapiens it is the most imported outside library in our Python scripts, from frame-by-frame video analysis to the green-screen cutout, and the same frame comparison ran about 25 times faster than the plain Python loop, with the exact same answer. OpenCV and librosa sit on top of it. Open source, BSD-3-Clause.
Where to find it
- GitHubgithub.com/numpy/numpy
- Docsnumpy.org/doc/stable
- What is NumPy (vectorization)numpy.org/doc/stable/user/whatisnumpy.html
- ndarray memory layoutnumpy.org/doc/stable/reference/arrays.ndarray.html
- Installnumpy.org/install
- PyPIpypi.org/project/numpy
- License (BSD-3)github.com/numpy/numpy/blob/main/LICENSE.txt
- YouTubeyoutube.com/@NumPy_team
Features
- Category: Coding & Development
- Tags:pythonarraysscientific computinglinear algebravectorizationopen source
- Website:Visit
- Curated: No
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