Skip to main content

Practice datasets to probe your code

Project description

Ensaio

Practice datasets to probe your code

Documentation (latest)Documentation (main branch)ContributingContactAsk a question

Part of the Fatiando a Terra project

Latest version on PyPI Latest version on conda-forge Test coverage status Compatible Python versions. DOI used to cite Ensaio

About

Ensaio (Portuguese for "rehearsal") is a Python package for downloading open-access sample datasets for Geoscience. It taps into the Fatiando a Terra FAIR data collection that is designed for use in tutorials, documentation, and teaching.

It uses Pooch to manage downloading and caching the data on your computer. This means that datasets are only downloaded if they can't be found on your computer already.

Project goals

  • Provide minimal code for downloading our sample data (basically just creates the relevant Pooch code).
  • Only download and let the user load the data. This helps make tutorials and examples more easily extended to a user's own data.
  • Be fully backwards compatible. We achieve this by separating data versions from Ensaio versions. Data fetching functions allow you to choose any data version that is older than the version of Ensaio that's installed. Major releases of Ensaio will be few and far between (if any).

Project status

Ensaio is ready for use but still changing. This means that we sometimes break backwards compatibility as we try to improve the software based on user experience, new ideas, better design decisions, etc. Please keep that in mind before you update to a newer version.

We welcome feedback and ideas! This is a great time to bring new ideas on how we can improve the project. Join the conversation or submit issues on GitHub.

Getting involved

🗨️ Contact us: Find out more about how to reach us at fatiando.org/contact.

👩🏾‍💻 Contributing to project development: Please read our Contributing Guide to see how you can help and give feedback.

🧑🏾‍🤝‍🧑🏼 Code of conduct: This project is released with a Code of Conduct. By participating in this project you agree to abide by its terms.

Imposter syndrome disclaimer: We want your help. No, really. There may be a little voice inside your head that is telling you that you're not ready, that you aren't skilled enough to contribute. We assure you that the little voice in your head is wrong. Most importantly, there are many valuable ways to contribute besides writing code.

This disclaimer was adapted from the MetPy project.

License

This is free software: you can redistribute it and/or modify it under the terms of the BSD 3-clause License. A copy of this license is provided in LICENSE.txt.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ensaio-0.7.0.tar.gz (16.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ensaio-0.7.0-py3-none-any.whl (15.1 kB view details)

Uploaded Python 3

File details

Details for the file ensaio-0.7.0.tar.gz.

File metadata

  • Download URL: ensaio-0.7.0.tar.gz
  • Upload date:
  • Size: 16.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for ensaio-0.7.0.tar.gz
Algorithm Hash digest
SHA256 8c22bcabae92fbb86851b31c2c64280f27a9ae34c839c4f2cd75c5ef39739560
MD5 9bd456a5f3b6e9ad1a1826937a0fd5ac
BLAKE2b-256 cde627567c4379ccd76334c1bc8e088f4bc7653be36cfa123e9b5313efaab3f7

See more details on using hashes here.

Provenance

The following attestation bundles were made for ensaio-0.7.0.tar.gz:

Publisher: pypi.yml on fatiando/ensaio

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file ensaio-0.7.0-py3-none-any.whl.

File metadata

  • Download URL: ensaio-0.7.0-py3-none-any.whl
  • Upload date:
  • Size: 15.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for ensaio-0.7.0-py3-none-any.whl
Algorithm Hash digest
SHA256 f9c27b2d13b933bdfdabe35e181c7a9916d701455192c062d206271a608073c5
MD5 48e6cdd962dd3e7f727c575af475ed6d
BLAKE2b-256 c5393dc44d909e3677e9f01e1d52f5fe154bef9d25f652f6c49efa3f89a5ef20

See more details on using hashes here.

Provenance

The following attestation bundles were made for ensaio-0.7.0-py3-none-any.whl:

Publisher: pypi.yml on fatiando/ensaio

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page