Skip to main content

datadepot

This library provides a collection of datasets used in the book Data Science Foundations and Machine Learning with Python.

Installation

Install datadepot with pip:

pip install datadepot

or with conda:

conda install conda-forge::datadepot

Usage

Import datadepot and load a dataset:

import datadepot

df = datadepot.load("<dataset>")

Replace <dataset> with the name of the dataset you want to load. For example:

df = datadepot.load("bank")

The returned object is a pandas DataFrame.

Dataset Information

View metadata for any dataset:

datadepot.info("<dataset>")

Example:

datadepot.info("diamonds")

This displays the dataset metadata:

  • Description
  • Source
  • URL
  • Creators
  • License
  • License URL

Available Datasets

The following datasets are included:

  • adult
  • bank
  • bike_sharing
  • churn
  • cpu
  • credit
  • creditcard
  • diamonds
  • drug
  • house
  • house_price
  • loan
  • mpg
  • nyc_taxi
  • online_shoppers
  • red_wines

More information about each dataset is available at https://datasciencebook.ai/datadepot, including its description, source, creators, and license.

License

datadepot is distributed under the MIT License. Individual datasets may be subject to different licenses; see each dataset's metadata for details.

Metadata

Release files for datadepot 0.0.84

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for datadepot 0.0.84
File Size Uploaded
datadepot-0.0.84.tar.gz 72.2 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for datadepot 0.0.84
File Interpreter ABI Platform
datadepot-0.0.84-py3-none-any.whl Python 3 none any Details

Total release size: 144.4 MB

Release files / datadepot-0.0.84.tar.gz

Download URL datadepot-0.0.84.tar.gz
Size 72.2 MB
Tags Source
SHA-256 checksum
How to use checksums
c8746c7200b4aab68623d4a3709f2e205e7acd33633948ac8a141d4bb07630bd
BLAKE2b-256 checksum
How to use checksums
29aea11277683d383bacc9db8b468f2bc4d942d28bc0094c0e4ec49b1191ccf6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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 Sep 14, 2026.

Transparency log

Release files / datadepot-0.0.84-py3-none-any.whl

Download URL datadepot-0.0.84-py3-none-any.whl
Size 72.2 MB
Tags Python 3
SHA-256 checksum
How to use checksums
2ff698772ebe33e5c65e467962ffded42c8f7fbbe87b1331e165b7f40d65598f
BLAKE2b-256 checksum
How to use checksums
c8d9b7b869379abe47a2cd9a0ebc1e7c6fe38fa1e98b2e35880001baaf7d9758
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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 Sep 14, 2026.

Transparency log

Release history Release notifications | RSS feed

0.0.91

2 release files

0.0.90

2 release files

0.0.86

2 release files

0.0.85

2 release files

This release

0.0.84 This release

2 release files

0.0.83

2 release files

0.0.79

2 release files

0.0.77

2 release files

0.0.76

2 release files

0.0.73

2 release files

0.0.72

2 release files

0.0.65

2 release files

0.0.64

2 release files

0.0.59

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page