NumPy: array processing for numbers, strings, records, and objects.
Project description
NumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type which also makes NumPy suitable for interfacing with general-purpose data-base applications.
There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distributions
Hashes for numpy-1.10.0-cp35-cp35m-manylinux1_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | c51659d34965cb62ca98080f49355063fbd0004064c16c671fb8ed088ab12692 |
|
MD5 | f6d11025dde078dc21afe9a8d96bc461 |
|
BLAKE2b-256 | 3d91ad52f4587f029122d971ff0df91c6d9f13d89787a731cf2ab367869a7037 |
Hashes for numpy-1.10.0-cp34-cp34m-manylinux1_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d924d836466e83221c0812015828a36bfd93c24bb58b3c11e61352458dd581e6 |
|
MD5 | 14c27ca1fb3f71057a4bc510c172ff3a |
|
BLAKE2b-256 | 29305532e08b7739cc8f400b2d2b87cce02d0259211ca3ce314d35e6ae66d511 |
Hashes for numpy-1.10.0-cp33-cp33m-manylinux1_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 124881e12015ff7dcd64640f22944ec04a2a1b27c7c77028a1239c195b2a7b14 |
|
MD5 | ae381e9305065a856179962e38fdf7fd |
|
BLAKE2b-256 | 82edca4426942bb4a7889fadb09fb3839febecc32702500cd6a3be8026768d55 |
Hashes for numpy-1.10.0-cp27-cp27mu-manylinux1_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 97a215a6cc010247a0df4d55e874d79d27fe234981ac1005c45cccdb48e9731d |
|
MD5 | 3f25ccbd7796c8a8987ff72801fa6c3e |
|
BLAKE2b-256 | ac70f5aaa1fb1db7a03e01060a88ac98fec555edba5a2467cf551717352ebd93 |
Hashes for numpy-1.10.0-cp27-cp27m-manylinux1_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 05952e952ed88fb6945d4b741f7472e66be31d0568b97865a051634e7fd01c5d |
|
MD5 | d5b99f05bc979a7669b82e37a1e730a8 |
|
BLAKE2b-256 | e4e17a833a762251a203c6f62a304dce9984bd15cf3474e556a1767c81f87a39 |
Hashes for numpy-1.10.0-cp26-cp26mu-manylinux1_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 189f72f4ff774382187a82dedcae58050fa110c1bb060a98588a649859cf22df |
|
MD5 | c3feb1cd45fb3dca6f1c158ef9f75773 |
|
BLAKE2b-256 | 2bbb47a70c9fb37c9dd4eaaeff69482c19fcdb114e751fc60f7a9c404355526d |
Hashes for numpy-1.10.0-cp26-cp26m-manylinux1_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9f917e14e14d9a3123eb651af572fbe1fe7f8da4854ee9b22940587bb527cb23 |
|
MD5 | 0a2d05d03f1b1ed46b6d71f5380d26a5 |
|
BLAKE2b-256 | ace2d7f789acb26b5c88c7be58ecba8e1d6a48eb0fb17074d790feadbe2318d8 |