- NumPy
Nearly every scientist working in Python draws on the power of NumPy NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use
- NumPy - Installing NumPy
The only prerequisite for installing NumPy is Python itself If you don’t have Python yet and want the simplest way to get started, we recommend you use the Anaconda Distribution - it includes Python, NumPy, and many other commonly used packages for scientific computing and data science
- NumPy - Learn
Below is a curated collection of educational resources, both for self-learning and teaching others, developed by NumPy contributors and vetted by the community
- What is NumPy? — NumPy v2. 3 Manual
What is NumPy? # NumPy is the fundamental package for scientific computing in Python
- NumPy quickstart — NumPy v2. 5. dev0 Manual
NumPy’s main object is the homogeneous multidimensional array It is a table of elements (usually numbers), all of the same type, indexed by a tuple of non-negative integers
- NumPy - Aprenda
Experimente esses recursos avançados para uma melhor compreensão dos conceitos da NumPy, como indexação avançada, splitting, stacking, álgebra linear e muito mais
- NumPy: the absolute basics for beginners — NumPy v1. 25 Manual
NumPy (Numerical Python) is an open source Python library that’s used in almost every field of science and engineering It’s the universal standard for working with numerical data in Python, and it’s at the core of the scientific Python and PyData ecosystems
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