5 files were added to this release more than 14 days after its initial publication. Inspect the release files before installing.
SciPy (pronounced “Sigh Pie”) is open-source software for mathematics, science, and engineering. The SciPy library depends on NumPy, which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world’s leading scientists and engineers. If you need to manipulate numbers on a computer and display or publish the results, give SciPy a try!
5 maintainers
Metadata
5 maintainers
Release files for scipy 0.17.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Files added late
5 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.
We recommend inspecting the release files before installing.
Source distributions (sdists)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| scipy-0.17.1.zip | 13.8 MB | Without provenance | Details for scipy-0.17.1.zip | |
| scipy-0.17.1.tar.gz | 12.4 MB | Without provenance | Details for scipy-0.17.1.tar.gz |
Built distributions (wheels)
Total release size: 402.3 MB
Release files / scipy-0.17.1.zip
| Download URL | scipy-0.17.1.zip |
|---|---|
| Size | 13.8 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
bb029d5e54093c4417bf3dad2715518ca68c2977f9d132271cf86bfecf02cabd
|
|
BLAKE2b-256 checksum How to use checksums |
9c85d8fd3c75ee4b216c0283efde113b42c8d6cf7e2d3bdd04928f5f0fcf4fc6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / scipy-0.17.1.tar.gz
| Download URL | scipy-0.17.1.tar.gz |
|---|---|
| Size | 12.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
9c4cd2f8013cc4084230a0e858d7642963dbadfd76494d2fad3b0b29bebb38ac
|
|
BLAKE2b-256 checksum How to use checksums |
055e973bf71cfa865d962a68893e35e366a0a7ac0b713bc398b4e584c1bed982
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / scipy-0.17.1-cp35-cp35m-manylinux1_x86_64.whl
| Download URL | scipy-0.17.1-cp35-cp35m-manylinux1_x86_64.whl |
|---|---|
| Size | 41.1 MB |
| Tags | CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.5+ x86-64 |
|
SHA-256 checksum How to use checksums |
953aa4291b3b9ea45c7f99d30c2308baed9b0fa553455741acd9d3b28a7654c9
|
|
BLAKE2b-256 checksum How to use checksums |
91f30052c245d53eb5f0e13b7215811e52af3791a8a7d31771605697c28466a0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / scipy-0.17.1-cp35-cp35m-manylinux1_i686.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 | scipy-0.17.1-cp35-cp35m-manylinux1_i686.whl |
|---|---|
| Size | 34.7 MB |
| Tags | CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.5+ x86-32 |
|
SHA-256 checksum How to use checksums |
fb58930b6a31ae3cec056fc6fa61a7a27e9d252a8e5f34c70e2500662c811809
|
|
BLAKE2b-256 checksum How to use checksums |
13d24e83ca14320c2836138839a2660700cbdcb548068e9abe56da75259ea3db
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / scipy-0.17.1-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
| Download URL | scipy-0.17.1-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl |
|---|---|
| Size | 20.2 MB |
| Tags | CPython 3.5 CPython 3.5 pymalloc macOS 10.10+ Intel (x86-64, i386) macOS 10.10+ x86-64 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 |
f0b202cc601abafc35b483210277cf1766ec16fc914345bccc2bb5ed250ccbdc
|
|
BLAKE2b-256 checksum How to use checksums |
40fa1c882b421b219bbbec71bd015c683cefb5d7971cd5e9f65fb84806d51680
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / scipy-0.17.1-cp34-cp34m-manylinux1_x86_64.whl
| Download URL | scipy-0.17.1-cp34-cp34m-manylinux1_x86_64.whl |
|---|---|
| Size | 39.3 MB |
| Tags | CPython 3.4 CPython 3.4 pymalloc Linux glibc 2.5+ x86-64 |
|
SHA-256 checksum How to use checksums |
655adae33573f125c5bbbd5a68c9f93bfce5947c6ea14499aaf2fc3426c1529a
|
|
BLAKE2b-256 checksum How to use checksums |
eb2e76aff3b25dd06cab06622f82a4790ff5002ab686e940847bb2503b4b2122
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / scipy-0.17.1-cp34-cp34m-manylinux1_i686.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 | scipy-0.17.1-cp34-cp34m-manylinux1_i686.whl |
|---|---|
| Size | 33.2 MB |
| Tags | CPython 3.4 CPython 3.4 pymalloc Linux glibc 2.5+ x86-32 |
|
SHA-256 checksum How to use checksums |
e4f891e6a7051518be7111a67ec538b6dca20cdb18bdd8b68fd8a6200419ab74
|
|
BLAKE2b-256 checksum How to use checksums |
10fe9910b5b366d4657c5bcce29e1d7b3c472166a5b0938be39c4499744848ea
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / scipy-0.17.1-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
| Download URL | scipy-0.17.1-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl |
|---|---|
| Size | 20.2 MB |
| Tags | CPython 3.4 CPython 3.4 pymalloc macOS 10.10+ Intel (x86-64, i386) macOS 10.10+ x86-64 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 |
a549c1c887cb243542ea795be0103d80b1f7616a31dbc02b8a9b177a6a6ee8ab
|
|
BLAKE2b-256 checksum How to use checksums |
0d93d7dbecc8412ca69b78a8e95d227b492c1ae3c217dd7efd1b3d6319abe7f9
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / scipy-0.17.1-cp33-cp33m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
| Download URL | scipy-0.17.1-cp33-cp33m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl |
|---|---|
| Size | 20.2 MB |
| Tags | CPython 3.3 CPython 3.3 pymalloc macOS 10.10+ Intel (x86-64, i386) macOS 10.10+ x86-64 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 |
ddd2b0bce0d50587324c6760a9d4e8e129459cf30c6f8a076df6be9b3f762be8
|
|
BLAKE2b-256 checksum How to use checksums |
090cf9a5f5b33bd78255001f78174ecae5dc9b4247802204968075559a836a3c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / scipy-0.17.1-cp27-cp27mu-manylinux1_x86_64.whl
| Download URL | scipy-0.17.1-cp27-cp27mu-manylinux1_x86_64.whl |
|---|---|
| Size | 39.5 MB |
| Tags | CPython 2.7 CPython 2.7 pymalloc wide-unicode Linux glibc 2.5+ x86-64 |
|
SHA-256 checksum How to use checksums |
a8da8af95381d56b398b37ee176ab9be166c614f691a6c58bca8b443bfb36fa3
|
|
BLAKE2b-256 checksum How to use checksums |
8ade326cf31a5a3ba0c01c40cdd78f7140b0510ed80e6d5ec5b2ec173c72df03
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / scipy-0.17.1-cp27-cp27mu-manylinux1_i686.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 | scipy-0.17.1-cp27-cp27mu-manylinux1_i686.whl |
|---|---|
| Size | 33.5 MB |
| Tags | CPython 2.7 CPython 2.7 pymalloc wide-unicode Linux glibc 2.5+ x86-32 |
|
SHA-256 checksum How to use checksums |
5fb2d6e7050da5965a0f979645d9e2f21ed68ca21801470b10742ede94e5e9b8
|
|
BLAKE2b-256 checksum How to use checksums |
a43a625081f4430fc096c2bdfe11036618cc0f80ba9c680823c764efb760dc7a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / scipy-0.17.1-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 | scipy-0.17.1-cp27-cp27m-manylinux1_x86_64.whl |
|---|---|
| Size | 39.5 MB |
| Tags | CPython 2.7 CPython 2.7 pymalloc Linux glibc 2.5+ x86-64 |
|
SHA-256 checksum How to use checksums |
4404b27058e334ea00f364393f4c49efa5c1032e6bec3e1f320bca98ae64faa8
|
|
BLAKE2b-256 checksum How to use checksums |
85bf9f4c4a3767034c346f7dabdc3c89f808b1e73446617d2612b34b0159c6c8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / scipy-0.17.1-cp27-cp27m-manylinux1_i686.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 | scipy-0.17.1-cp27-cp27m-manylinux1_i686.whl |
|---|---|
| Size | 33.5 MB |
| Tags | CPython 2.7 CPython 2.7 pymalloc Linux glibc 2.5+ x86-32 |
|
SHA-256 checksum How to use checksums |
9b3ec91876f0b610e5745e10f82152f7da82a29d22c920900e5c54805f8a4270
|
|
BLAKE2b-256 checksum How to use checksums |
3f9a09edc932e4f40ddc17293747892891690e68a27714ed09bcf21bb21a5ada
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / scipy-0.17.1-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
| Download URL | scipy-0.17.1-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl |
|---|---|
| Size | 21.1 MB |
| Tags | CPython 2.7 CPython 2.7 pymalloc macOS 10.10+ Intel (x86-64, i386) macOS 10.10+ x86-64 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 |
18d2a97e50ad2239844433122fb10c7a7d171e073b87ce47f12ae8125e50cd93
|
|
BLAKE2b-256 checksum How to use checksums |
4d4db2020db3ab453cf3f85dc0dedae7b4a753a6887f01a83eb8114599e3d20c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for scipy 0.17.1
Upload timing
Release files added late
5 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
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
