This is an example Python package, which is intended to illustrate the current best practices in Python development and packaging. The intended audience is for Bioinformatics, so the package itself simulates a Kingman’s coalescent, a simple but fundamental process in population genetics. See the CodeMonkeys blog post for a full discussion of this package. Documentation for the package is available on ReadTheDocs.
Metadata
Release files for kingman 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| kingman-1.0.0.tar.gz | 19.8 kB | Without provenance | Details for kingman-1.0.0.tar.gz |
Release files / kingman-1.0.0.tar.gz
| Download URL | kingman-1.0.0.tar.gz |
|---|---|
| Size | 19.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
8ea55794d8dee65157c8c5c3a9e0b9d45c4082254bd8a047edd44d5f426814cd
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BLAKE2b-256 checksum How to use checksums |
fdeffb43d12434d77e07aa436fe3f0a6d1d7e41b35d605e0118dc72036ad7431
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for kingman 1.0.0
Provenance
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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