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- NumPy user guide — NumPy v2. 3 Manual
NumPy user guide # This guide is an overview and explains the important features; details are found in NumPy reference
- NumPy Documentation
NumPy 1 20 Manual [HTML+zip] [Reference Guide PDF] [User Guide PDF] NumPy 1 19 Manual [HTML+zip] [Reference Guide PDF] [User Guide PDF] NumPy 1 18 Manual [HTML+zip] [Reference Guide PDF] [User Guide PDF] NumPy 1 17 Manual [HTML+zip] [Reference Guide PDF] [User Guide PDF] NumPy 1 16 Manual [HTML+zip] [Reference Guide PDF] [User Guide PDF] NumPy
- 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
- Constants — NumPy v2. 3 Manual
Notes NumPy uses the IEEE Standard for Binary Floating-Point for Arithmetic (IEEE 754) This means that Not a Number is not equivalent to infinity Also that positive infinity is not equivalent to negative infinity But infinity is equivalent to positive infinity Examples Try it in your browser!
- Data types — NumPy v2. 3 Manual
NumPy numerical types are instances of numpy dtype (data-type) objects, each having unique characteristics Once you have imported NumPy using import numpy as np you can create arrays with a specified dtype using the scalar types in the numpy top-level API, e g numpy bool, numpy float32, etc
- NumPy fundamentals — NumPy v2. 3 Manual
These documents clarify concepts, design decisions, and technical constraints in NumPy This is a great place to understand the fundamental NumPy ideas and philosophy
- NumPy - News
The NumPy 1 23 0 release continues the ongoing work to improve the handling and promotion of dtypes, increase the execution speed, clarify the documentation, and expire old deprecations
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