Numpy Dtype Char. It is significantly faster than Python's built-in lists because i
It is significantly faster than Python's built-in lists because it uses optimized C language style storage where actual values are stored at contiguous locations (not object reference). It is an open source project and you can use it freely. The user guide provides in-depth information on the key concepts of NumPy with useful background information and explanation. For learning how to use NumPy, see the complete documentation. NumPy’s main object is the homogeneous multidimensional array. For contributors: Numpy developer guide Scipy developer guide Latest releases: Complete Numpy Manual [HTML+zip] Numpy Reference Guide [PDF] Numpy User Guide [PDF] F2Py Guide SciPy Documentation [HTML+zip] The only prerequisite for installing NumPy is Python itself. Work with multidimensional arrays and matrices to process large datasets efficiently. 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 structures. 20 Manual [HTML+zip] [Reference Guide PDF] [User Guide PDF] NumPy 1. NumPy (pronounced / ˈnʌmpaɪ / NUM-py) is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.