emcee 2.1.0-4 source package in Ubuntu
Changelog
emcee (2.1.0-4) unstable; urgency=low * Add numpy to dependencies -- Ole Streicher <email address hidden> Thu, 04 Feb 2016 15:32:21 +0100
Upload details
- Uploaded by:
- Debian Astronomy Maintainers
- Uploaded to:
- Sid
- Original maintainer:
- Debian Astronomy Maintainers
- Architectures:
- all
- Section:
- misc
- Urgency:
- Low Urgency
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| emcee_2.1.0-4.dsc | 2.0 KiB | 81d5c77e3039034512c16923989c3af57f3d7342876f79434c55ff49161972f3 |
| emcee_2.1.0.orig.tar.gz | 22.6 KiB | 5ce1039a3d78fb9e7d53fcd768517585c5998193743bfcfaac407927d375ca63 |
| emcee_2.1.0-4.debian.tar.xz | 2.4 KiB | c7586f4e1eac7123b03cd173f57e7f794d3602cae0f3bf0c5b814a05d9f77d86 |
Available diffs
- diff from 2.1.0-3 to 2.1.0-4 (531 bytes)
No changes file available.
Binary packages built by this source
- python-emcee: Affine-invariant ensemble MCMC sampling for Python
emcee is an extensible, pure-Python implementation of Goodman &
Weare's Affine Invariant Markov chain Monte Carlo (MCMC) Ensemble
sampler. It's designed for Bayesian parameter estimation.
.
This is the Python 2 package.
- python3-emcee: Affine-invariant ensemble MCMC sampling for Python 3
emcee is an extensible, pure-Python implementation of Goodman &
Weare's Affine Invariant Markov chain Monte Carlo (MCMC) Ensemble
sampler. It's designed for Bayesian parameter estimation.
.
This is the Python 3 package.
