
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 …
NumPy documentation — NumPy v2.4 Manual
The reference guide contains a detailed description of the functions, modules, and objects included in NumPy. The reference describes how the methods work and which parameters …
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 …
NumPy reference — NumPy v2.4 Manual
Dec 21, 2025 · This reference manual details functions, modules, and objects included in NumPy, describing what they are and what they do. For learning how to use NumPy, see the complete …
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] …
What is NumPy? — NumPy v2.4 Manual
What is NumPy? # NumPy is the fundamental package for scientific computing in Python.
NumPy: the absolute basics for beginners — NumPy v2.5.dev0 …
The NumPy library contains multidimensional array data structures, such as the homogeneous, N-dimensional ndarray, and a large library of functions that operate efficiently on these data …
numpy.where — NumPy v2.4 Manual
numpy.where # numpy.where(condition, [x, y, ]/) # Return elements chosen from x or y depending on condition.
Mathematical functions — NumPy v2.4 Manual
Handling complex numbers # ... Extrema finding # ... Miscellaneous # ... numpy.not_equal
The N-dimensional array (ndarray) — NumPy v2.4 Manual
Each of the arithmetic operations (+, -, *, /, //, %, divmod(), ** or pow(), <<, >>, &, ^, |, ~) and the comparisons (==, <, >, <=, >=, !=) is equivalent to the corresponding universal function (or …