6 files were added to this release more than 14 days after its initial publication. Inspect the release files before installing.
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.
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2 maintainers
Release files for numpy 1.8.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Files added late
6 files were uploaded more than 14 days after the first file in this release.
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We recommend inspecting the release files before installing.
Source distributions (sdists)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| numpy-1.8.2.zip | 4.3 MB | Without provenance | Details | |
| numpy-1.8.2.tar.gz | 3.8 MB | Without provenance | Details |
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| numpy-1.8.2-cp34-cp34m-manylinux1_x86_64.whl | CPython 3.4 | CPython 3.4 pymalloc | Linux glibc 2.5+ x86-64 | Details |
| numpy-1.8.2-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.whl | CPython 3.4 | CPython 3.4 pymalloc | macOS 10.9+ x86-64, macOS 10.9+ Intel (x86-64, i386), macOS 10.6+ Intel (x86-64, i386) | Details |
| numpy-1.8.2-cp33-cp33m-manylinux1_x86_64.whl | CPython 3.3 | CPython 3.3 pymalloc | Linux glibc 2.5+ x86-64 | Details |
| numpy-1.8.2-cp33-cp33m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.whl | CPython 3.3 | CPython 3.3 pymalloc | macOS 10.9+ x86-64, macOS 10.9+ Intel (x86-64, i386), macOS 10.6+ Intel (x86-64, i386) | Details |
| numpy-1.8.2-cp27-none-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.whl | CPython 2.7 | none | macOS 10.9+ Intel (x86-64, i386), macOS 10.6+ Intel (x86-64, i386), macOS 10.9+ x86-64 | Details |
| numpy-1.8.2-cp27-cp27mu-manylinux1_x86_64.whl | CPython 2.7 | CPython 2.7 pymalloc wide-unicode | Linux glibc 2.5+ x86-64 | Details |
| numpy-1.8.2-cp27-cp27m-manylinux1_x86_64.whl | CPython 2.7 | CPython 2.7 pymalloc | Linux glibc 2.5+ x86-64 | Details |
| numpy-1.8.2-cp26-cp26mu-manylinux1_x86_64.whl | CPython 2.6 | CPython 2.6 pymalloc wide-unicode | Linux glibc 2.5+ x86-64 | Details |
| numpy-1.8.2-cp26-cp26m-manylinux1_x86_64.whl | CPython 2.6 | CPython 2.6 pymalloc | Linux glibc 2.5+ x86-64 | Details |
Total release size: 131.7 MB
Release files / numpy-1.8.2.zip
| Download URL | numpy-1.8.2.zip |
|---|---|
| Size | 4.3 MB |
| Tags | Source |
|
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No |
Release files / numpy-1.8.2.tar.gz
| Download URL | numpy-1.8.2.tar.gz |
|---|---|
| Size | 3.8 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
Release files / numpy-1.8.2-cp34-cp34m-manylinux1_x86_64.whl
File added late
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While project maintainers occasionally add legitimate files to an existing release, late additions can also indicate a security compromise.
We recommend inspecting the release file before installing.
| Download URL | numpy-1.8.2-cp34-cp34m-manylinux1_x86_64.whl |
|---|---|
| Size | 14.7 MB |
| Tags | CPython 3.4 CPython 3.4 pymalloc Linux glibc 2.5+ x86-64 |
|
SHA-256 checksum How to use checksums |
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No |
Release files / numpy-1.8.2-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.whl
| Download URL | numpy-1.8.2-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.whl |
|---|---|
| Size | 12.0 MB |
| Tags | CPython 3.4 CPython 3.4 pymalloc macOS 10.6+ Intel (x86-64, i386) macOS 10.9+ Intel (x86-64, i386) macOS 10.9+ x86-64 |
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No |
Release files / numpy-1.8.2-cp33-cp33m-manylinux1_x86_64.whl
File added late
This file was uploaded more than 14 days after the first file in this release.
While project maintainers occasionally add legitimate files to an existing release, late additions can also indicate a security compromise.
We recommend inspecting the release file before installing.
| Download URL | numpy-1.8.2-cp33-cp33m-manylinux1_x86_64.whl |
|---|---|
| Size | 14.5 MB |
| Tags | CPython 3.3 CPython 3.3 pymalloc Linux glibc 2.5+ x86-64 |
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No |
Release files / numpy-1.8.2-cp33-cp33m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.whl
| Download URL | numpy-1.8.2-cp33-cp33m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.whl |
|---|---|
| Size | 12.0 MB |
| Tags | CPython 3.3 CPython 3.3 pymalloc macOS 10.6+ Intel (x86-64, i386) macOS 10.9+ Intel (x86-64, i386) macOS 10.9+ x86-64 |
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No |
Release files / numpy-1.8.2-cp27-none-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.whl
| Download URL | numpy-1.8.2-cp27-none-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.whl |
|---|---|
| Size | 12.0 MB |
| Tags | CPython 2.7 macOS 10.6+ Intel (x86-64, i386) macOS 10.9+ Intel (x86-64, i386) macOS 10.9+ x86-64 |
|
SHA-256 checksum How to use checksums |
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Release files / numpy-1.8.2-cp27-cp27mu-manylinux1_x86_64.whl
File added late
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While project maintainers occasionally add legitimate files to an existing release, late additions can also indicate a security compromise.
We recommend inspecting the release file before installing.
| Download URL | numpy-1.8.2-cp27-cp27mu-manylinux1_x86_64.whl |
|---|---|
| Size | 14.6 MB |
| Tags | CPython 2.7 CPython 2.7 pymalloc wide-unicode Linux glibc 2.5+ x86-64 |
|
SHA-256 checksum How to use checksums |
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Release files / numpy-1.8.2-cp27-cp27m-manylinux1_x86_64.whl
File added late
This file was uploaded more than 14 days after the first file in this release.
While project maintainers occasionally add legitimate files to an existing release, late additions can also indicate a security compromise.
We recommend inspecting the release file before installing.
| Download URL | numpy-1.8.2-cp27-cp27m-manylinux1_x86_64.whl |
|---|---|
| Size | 14.6 MB |
| Tags | CPython 2.7 CPython 2.7 pymalloc Linux glibc 2.5+ x86-64 |
|
SHA-256 checksum How to use checksums |
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Release files / numpy-1.8.2-cp26-cp26mu-manylinux1_x86_64.whl
File added late
This file was uploaded more than 14 days after the first file in this release.
While project maintainers occasionally add legitimate files to an existing release, late additions can also indicate a security compromise.
We recommend inspecting the release file before installing.
| Download URL | numpy-1.8.2-cp26-cp26mu-manylinux1_x86_64.whl |
|---|---|
| Size | 14.6 MB |
| Tags | CPython 2.6 CPython 2.6 pymalloc wide-unicode Linux glibc 2.5+ x86-64 |
|
SHA-256 checksum How to use checksums |
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Release files / numpy-1.8.2-cp26-cp26m-manylinux1_x86_64.whl
File added late
This file was uploaded more than 14 days after the first file in this release.
While project maintainers occasionally add legitimate files to an existing release, late additions can also indicate a security compromise.
We recommend inspecting the release file before installing.
| Download URL | numpy-1.8.2-cp26-cp26m-manylinux1_x86_64.whl |
|---|---|
| Size | 14.6 MB |
| Tags | CPython 2.6 CPython 2.6 pymalloc Linux glibc 2.5+ x86-64 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for numpy 1.8.2
Upload timing
Files added late
6 files were uploaded more than 14 days after the first file in this release.
While project maintainers occasionally add legitimate files to an existing release, late additions can also indicate a security compromise.
Provenance
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