Support for physical quantities with units, based on numpy
Project description
Quantities is designed to handle arithmetic and conversions of physical quantities, which have a magnitude, dimensionality specified by various units, and possibly an uncertainty. See the tutorial for examples. Quantities builds on the popular numpy library and is designed to work with numpy ufuncs, many of which are already supported. Quantities is actively developed, and while the current features and API are stable, test coverage is incomplete and so the package is not suggested for production use.
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.
Filename, size | File type | Python version | Upload date | Hashes |
---|---|---|---|---|
Filename, size quantities-0.9.0.tar.gz (63.3 kB) | File type Source | Python version None | Upload date | Hashes View |
Filename, size quantities-0.9.0.win32-py2.6.msi (196.6 kB) | File type Windows MSI Installer | Python version 2.6 | Upload date | Hashes View |
Filename, size quantities-0.9.0.win32-py2.7.msi (294.9 kB) | File type Windows MSI Installer | Python version 2.7 | Upload date | Hashes View |
Filename, size quantities-0.9.0.win32-py3.1.msi (294.9 kB) | File type Windows MSI Installer | Python version 3.1 | Upload date | Hashes View |
Filename, size quantities-0.9.0.win-amd64-py2.6.msi (196.6 kB) | File type Windows MSI Installer | Python version 2.6 | Upload date | Hashes View |
Filename, size quantities-0.9.0.win-amd64-py2.7.msi (294.9 kB) | File type Windows MSI Installer | Python version 2.7 | Upload date | Hashes View |
Filename, size quantities-0.9.0.win-amd64-py3.1.msi (294.9 kB) | File type Windows MSI Installer | Python version 3.1 | Upload date | Hashes View |
Filename, size quantities-0.9.0.zip (87.9 kB) | File type Source | Python version None | Upload date | Hashes View |
Close
Hashes for quantities-0.9.0.win32-py2.6.msi
Algorithm | Hash digest | |
---|---|---|
SHA256 | 26863124391d9c166accaf412a1d327fdd155763c0dcf3ecf7219e3df0657dfe |
|
MD5 | 77a6ec5fcd766ed2c0600584420e0bf5 |
|
BLAKE2-256 | 05da4cb7dd01b6523ee6d45e38aa4efc79d1a9fa49e67db719bbc561c0673206 |
Close
Hashes for quantities-0.9.0.win32-py2.7.msi
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9617a0d2be81d574549d7978b6854ede992ffb86e040e4d048316d182d6a8002 |
|
MD5 | eeb5dc54c7fbf92649fdb85baddbdfa2 |
|
BLAKE2-256 | 87b01c419cf62e933b7da7ad2811f9f3da700f996bd33cac20f202ae27e84d9d |
Close
Hashes for quantities-0.9.0.win32-py3.1.msi
Algorithm | Hash digest | |
---|---|---|
SHA256 | 90a228763d9a6b53c274cb3d92928174f49ee7de7a180e8c5c46fe5cb7b21dfb |
|
MD5 | 8c3fe8050ccf4c05bf2834ae834b96f4 |
|
BLAKE2-256 | 7dc698e400bb17f7df5d41f90da7d8a62c8681c87351b8940196bb359df02a61 |
Close
Hashes for quantities-0.9.0.win-amd64-py2.6.msi
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7d68a094f8a7fa3abbdeb1a83e1d197784f442a966a9a699ed8aa9404aae2584 |
|
MD5 | d5a0c853d2176030e0165709360c0e27 |
|
BLAKE2-256 | a24211cf8d22ceaba48736862ec6374196b2a0dfa4fdb73d6242c31ea02ba9e0 |
Close
Hashes for quantities-0.9.0.win-amd64-py2.7.msi
Algorithm | Hash digest | |
---|---|---|
SHA256 | ab03d96d479eebaceba909da647ecf5b6abcbba87959a66b7a514918f90f17aa |
|
MD5 | b4a4ebbc653d6c915059deda3701a4e2 |
|
BLAKE2-256 | 209cb4c8ba528c38a8c5937747da0701ab15250cc358496bea09b1a9bf659f12 |
Close
Hashes for quantities-0.9.0.win-amd64-py3.1.msi
Algorithm | Hash digest | |
---|---|---|
SHA256 | 46db88f1f7548923ac0a168f9012c27f956a62a13cf6f9d792bc7b2b50c619cd |
|
MD5 | f2e9019167c94d5dc2482d0dbec49931 |
|
BLAKE2-256 | 6d9aa5896977d885afcde113d23210413a3c2914f03d4377c9960ed916390721 |