scikit-bio: First beta release at SciPy 2015!
Creators
- Jai Ram Rideout1
- Greg Caporaso
- Evan Bolyen
- Daniel McDonald
- Jorge Cañardo Alastuey
- Yoshiki Vázquez Baeza2
- Anders Pitman
- mortonjt
- josenavas
- J W Debelius
- adamrp
- Joshua Shorenstein3
- Laurent Luce
- Will Van Treuren
- John Chase
- charudatta-navare
- Kestrel Gorlick
- Antonio Gonzalez4
- teravest
- Jens Reeder
- shiffer1
- nbresnick
- Chris Cope
- jradinger
- Karen Schwarzberg
- alexbrc
- Zech Xu5
- Vivek Rai
- BANSHEE-
- Jennifer Fouquier6
- 1. Northern Arizona University
- 2. University of California, San Diego; Knight Laboratory
- 3. CU Boulder
- 4. Knight Lab
- 5. UCSD
- 6. The Scripps Research Institute
Description
We're extremely excited to announce the first beta release of scikit-bio, version 0.4.0, from SciPy 2015 in Austin, TX! This is a major release in which the following subpackages have been mostly or entirely rewritten:
- skbio.sequence
- skbio.io
These APIs have changed (and improved!) since 0.2.3, and are now considered stable. All other APIs are now considered experimental, and will be stabilizing in our upcoming releases.
Beginning with this release, all aspects of our public API are annotated to indicate their stability so our users are aware of what APIs can be relied on, and which might change. The new API stability docs contain more details, including what we mean by stable and experimental in this context.
We now have a dedicated scikit-bio twitter account, which will be the primary way that we share news about scikit-bio. You should follow @scikitbio on twitter for project updates.
We're also excited to have had some new contributors in this development cycle. Check out our contributors page to see who's involved (and get in touch if you want to get involved - we're interested in working with developers of all skill levels!).
You can review our CHANGELOG.md for a more detailed description of the changes since 0.2.3. To learn about what you can do with scikit-bio, you can browse our (awesome!) documentation or learn some new bioinformatics recipes with the scikit-bio cookbook.
Thanks for your interest in scikit-bio!
Files
scikit-bio-0.4.0.zip
Files
(8.2 MB)
Name | Size | Download all |
---|---|---|
md5:a755be1503fc9f6694e6d70079fc9cd8
|
8.2 MB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/biocore/scikit-bio/tree/0.4.0 (URL)