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DataSentics Lab - experimental open-source repo

Project description

DataSentics Python package skeleton

Local Environment Setup

The following software needs to be installed first:

Clone the repo now and prepare the package environment:

  • On Windows, use Git Bash.
  • On Linux/Mac, the use standard console
$ git clone git@github.com:DataSentics/package-example.git
$ cd package-example
$ ./env-init.sh

After the environment setup is complete, activate the Conda environment:

$ conda activate [projectRoot]/.venv

Contribution

Semantic Commit Messages

See how a minor change to your commit message style can make you a better programmer.

Format: <type>(<scope>): <subject>

<scope> is optional

Example

feat: add hat wobble
^--^  ^------------^
|     |
|     +-> Summary in present tense.
|
+-------> Type: chore, docs, feat, fix, refactor, style, or test.

More Examples:

  • feat: (new feature for the user, not a new feature for build script)
  • fix: (bug fix for the user, not a fix to a build script)
  • docs: (changes to the documentation)
  • style: (formatting, missing semi colons, etc; no production code change)
  • refactor: (refactoring production code, eg. renaming a variable)
  • test: (adding missing tests, refactoring tests; no production code change)
  • cicd: (updating workflows; no production code change)
  • release: (changing version in pyproject.toml and commit message: "release: vMAJOR.MINOR.PATCH")

References:

Project details


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