This project has been archived by its maintainers, and is no longer receiving any updates.
Package dsf
Package ‘dsf’
Title ``Data Science Foudations’’
Description
This package has been replaced by datadepot.
URL https://github.com/vanraak/dsf
Depends Python (>= 3.8) and Pandas (>2.0)
License GPL (>= 2)
Repository Pypi
Authors Jeroen van Raak and Reza Mohammadi
Maintainer Jeroen van Raak, j.j.f.vanraak@uva.nl
NeedsCompilation no
Installation
pip install datadepot
Usage
import datadepot
df=datadepot.load('<dataset>')
Replace with the name of the dataset, such as ‘bank’, ‘house’, or ‘churn’.
Example
df=datadepot.load('bank') # Load the bank dataset.
Datasets
The following datasets are included:
- adult
- advertising
- bank
- caravan
- cereal
- churn
- churn_ibm
- churn_tel
- corona
- diamonds
- drug
- gapminder
- house
- house_price
- insurance
- marketing
- mpg
- red_wines
- risk
- white_wines
Documentation
The full documentation is available at: https://github.com/vanraak/dsf/blob/main/README.pdf
Metadata
Release files for dsf 0.0.38
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 |
|---|---|---|---|---|
| dsf-0.0.38.tar.gz | 4.0 kB | With provenance | Details for dsf-0.0.38.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| dsf-0.0.38-py3-none-any.whl | Python 3 | none | any | Details for dsf-0.0.38-py3-none-any.whl |
Total release size: 8.0 kB
Release files / dsf-0.0.38.tar.gz
| Download URL | dsf-0.0.38.tar.gz |
|---|---|
| Size | 4.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
6e462ae284033d2a4e3c49b5716858c1b50b7df38ac76d9d30f722522c126b55
|
|
BLAKE2b-256 checksum How to use checksums |
c6df4ba11f3766c2a11ea643bef53300651de5a7f9e2d3469547f9762910f752
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Feb 26, 2026.
Transparency logRelease files / dsf-0.0.38-py3-none-any.whl
| Download URL | dsf-0.0.38-py3-none-any.whl |
|---|---|
| Size | 4.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
9ca4f937968aa6bed500ee32bc7bc15d37fee4689d9b2580f6ab8758582fbf86
|
|
BLAKE2b-256 checksum How to use checksums |
f63b8dd147715fc07ba2a2bdaa1d4cb60589e00aebef48da6882da40cc4d73f8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Feb 26, 2026.
Transparency logSecurity for dsf 0.0.38
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.
Full provenance
Both files in this release have been uploaded with provenance metadata.
Attestation for dsf-0.0.38.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Feb 26, 2026.
Transparency logA 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.