Sourcing Kaggle Datasets with Python
Project description
Sourcing Kaggle Datasets with Python
👉 About 👈
Minimum Viable Product:
😎 Built With 😎
📖 Getting Started 📖
✋ Prerequisites ✋
Change the project-specific attributes. See TODO for more information.
💪 Installation 💪
pip install --user sourcing-kaggle-datasets
🚀 Usage 🚀
🤓 Static Analysis 🤓
$ make types
$ make lint
$ make sast
# .gitlab.ci.yml
types:
stage: Static Analysis
script: [make types]
allow_failure: true
linting:
stage: Static Analysis
script: [make lint]
allow_failure: true
secure-code:
stage: Static Analysis
script: [make sast]
allow_failure: false
🧐 Unit Testing 🧐
$ make unittests
# .gitlab.ci.yml
unittests:
stage: Unit Testing
script: [make unittests]
allow_failure: false
🤩 Building 🤩
$ make build
# .gitlab.ci.yml
build:
stage: Building
script: [make build]
artifacts:
paths: [dist]
only:
- develop
- main
🥳 Deployment 🥳
$ make deploy
# .gitlab.ci.yml
gitlab:
stage: Deployment
script: [make deploy]
artifacts:
paths: [dist]
only:
- develop
- main
pypi:
stage: Deployment
script: [make release]
artifacts:
paths: [dist]
only:
- main
For more examples, please refer to the Documentation
⭐️ Features ⭐️
- Using pyTest as a paradigm for test-driven development
- Using Bandit as static application security testing code analyzer
- Automatic build and deploy on GitLab and PyPi Packages Regestries
📑 Changelog 📑
See CHANGELOG for more information.
📋 Roadmap 📋
- Implement Toml Config Parser as a Settings Mechanism
See the open issues for a list of proposed features (and known issues).
🤝 Contribute 🤝
Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.
- Please read the contribution guidelines first.
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature
) - Commit your Changes (
git commit -m 'Add some AmazingFeature'
) - Push to the Branch (
git push origin feature/AmazingFeature
) - Open a Pull Request
📜 License 📜
Distributed under the MIT License. See LICENSE for more information.
💌 Contact 💌
Bootcamp contributors - contributors
@ bootcamp-project
.com
🏆 Acknowledgements 🏆
Thanks for these awesome resources that were used during the development of the Bootcamp Project: Sourcing Kaggle Datasets with Python:
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
Built Distribution
Hashes for sourcing-kaggle-datasets-0.1.2.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | e37fede62bbf46a1f0352539b0d07f86727668a3d014edfa131602d8bd6fca51 |
|
MD5 | 1f4e325306d834b6fab6f6e0f8bb8552 |
|
BLAKE2b-256 | 98d7539e7be97e12a8ee7528713b4f6144b78401f802cf83a9af66e18af6f77e |
Hashes for sourcing_kaggle_datasets-0.1.2-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4711f3242040d01e7472cbe00e9122786c660ff20c6c452a3936ca5c23773821 |
|
MD5 | e7be3eb2a4c92b58841ebf1e95c6bd01 |
|
BLAKE2b-256 | 83adc79e0c6771f7634a5cfa868a1750655ae19194a8ff4fdf79c9e459ae9edd |