Scientific Python package for algorithmic finite-size scaling analysis at phase transitions.
Documentation: http://pyfssa.readthedocs.org
Metadata
Release files for fssa 0.7.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| fssa-0.7.6.tar.gz | 1.3 MB | Details |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fssa-0.7.6-py3.5.egg | Legacy Egg format | - | - | Details |
| fssa-0.7.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.4 MB
Release files / fssa-0.7.6.tar.gz
| Download URL | fssa-0.7.6.tar.gz |
|---|---|
| Size | 1.3 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / fssa-0.7.6-py3.5.egg
| Download URL | fssa-0.7.6-py3.5.egg |
|---|---|
| Size | 37.3 kB |
| Tags | Egg |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / fssa-0.7.6-py3-none-any.whl
| Download URL | fssa-0.7.6-py3-none-any.whl |
|---|---|
| Size | 17.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |