dscience
A lightweight Python 3 library for everyday coding, data science, and bioinformatics. Integrated with Numpy and Pandas 1.0+, with few other dependencies.
Provides:
- Many utility functions, data types, and decorators
- Exceptions that store useful attributes to help calling code recover
- Pandas DataFrames with required columns / enforced structure and extra methods
- Simple utilities for Jupyter notebooks
- Algorithms, bioinformatics resources, and machine learning support
contributing
This project is under active development. New issues and pull requests are welcome. We use tabs for indentation and will eventually use conventional commits.
license
The authors release these contents and documentation files under the terms of the Apache License, version 2.0. The project was developed to support research at the Kokel Lab, fulfill requirements for UCSF QBC PhD programs, and be useful to the public.
Authors and contributors:
- Douglas Myers-Turnbull (primary)
- Chris Ki (contributor)
- Cole Helsell (contributor)
1 maintainer
Metadata
1 maintainer
Release files for dscience 0.0.1
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 | |
|---|---|---|---|---|
| dscience-0.0.1.tar.gz | 83.2 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dscience-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 187.3 kB
Release files / dscience-0.0.1.tar.gz
| Download URL | dscience-0.0.1.tar.gz |
|---|---|
| Size | 83.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
4cffd8de5d42bb3d065d2deb8a176d596a0d87287a4e370421896e84fe507308
|
|
BLAKE2b-256 checksum How to use checksums |
1a63f89814f89ee23bbabcfb50943ff2d6a7d0002689ed8f496164a5837a9eaa
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.2.0.post20200210 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6
|
Release files / dscience-0.0.1-py3-none-any.whl
| Download URL | dscience-0.0.1-py3-none-any.whl |
|---|---|
| Size | 104.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
8d4da61f98151ee93e019cca3d8cd1e0df91d17c25249354eff67f92b62884b5
|
|
BLAKE2b-256 checksum How to use checksums |
5c51a19e2cc33e719843871b992f0a5ed4659f05291a82d924b6c1afe5341e11
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.2.0.post20200210 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6
|
Security for dscience 0.0.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
