semvec/pypi-packages huggingface dataset:
dbt-core 1.11.6
With dbt, data analysts and engineers can build analytics the way engineers build applications.
Requires Python: >=3.10

<p align="center">
  <img src="https://raw.githubusercontent.com/dbt-labs/dbt-core/fa1ea14ddfb1d5ae319d5141844910dd53ab2834/etc/dbt-core.svg" alt="dbt logo" width="750"/>
</p>
<p align="center">
  <a href="https://github.com/dbt-labs/dbt-core/actions/workflows/main.yml">
    <img src="https://github.com/dbt-labs/dbt-core/actions/workflows/main.yml/badge.svg?event=push" alt="CI Badge"/>
  </a>
</p>

**[dbt](https://www.getdbt.com/)** enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

![architecture](https://raw.githubusercontent.com/dbt-labs/dbt-core/6c6649f9129d5d108aa3b0526f634cd8f3a9d1ed/etc/dbt-arch.png)

## Understanding dbt

Analysts using dbt can transform their data by simply writing select statements, while dbt handles turning these statements into tables and views in a data warehouse.

These select statements, or "models", form a dbt project. Models frequently build on top of one another – dbt makes it easy to [manage relationships](https://docs.getdbt.com/docs/ref) between models, and [visualize these relationships](https://docs.getdbt.com/docs/documentation), as well as assure the quality of your transformations through [testing](https://docs.getdbt.com/docs/testing).

![dbt dag](https://raw.githubusercontent.com/dbt-labs/dbt-core/6c6649f9129d5d108aa3b0526f634cd8f3a9d1ed/etc/dbt-dag.png)

## Getting started

- [Install dbt](https://docs.getdbt.com/docs/installation)
- Read the [introduction](https://docs.getdbt.com/docs/introduction/) and [viewpoint](https://docs.getdbt.com/docs/about/viewpoint/)

## Join the dbt Community

- Be part of the conversation in the [dbt Community Slack](http://community.getdbt.com/)
- Read more on the [dbt Community Discourse](https://discourse.getdbt.com)

## Reporting bugs and contributing code

- Want to report a bug or request a feature? Let us know on [Slack](http://community.getdbt.com/), or open [an issue](https://github.com/dbt-labs/dbt-core/issues/new)
- Want to help us build dbt? Check out the [Contributing Guide](https://github.com/dbt-labs/dbt-core/blob/HEAD/CONTRIBUTING.md)

## Code of Conduct

Everyone interacting in the dbt project's codebases, issue trackers, chat rooms, and mailing lists is expected to follow the [dbt Code of Conduct](https://community.getdbt.com/code-of-conduct).
hello-robot-stretch-body-tools 0.7.16
Stretch Body Tools

Stretch Body Command Line Tools
===============================

This package provides Python tools that work with the Hello Robot Stretch Body package. These tools perform common tasks when working with Stretch (e.g. homing and stowing), and serve as tutorial code for working on various parts of the robot. This package comes pre-installed on Stretch robots. A tutorial for using this package can be found [on the docs](https://docs.hello-robot.com/0.2/stretch-tutorials/stretch_body/tutorial_command_line_tools/).

Installing
----------

This package comes pre-installed on Stretch robots. To install or upgrade to a stable Stretch Body Command Line Tools for Python3, run:

```bash
$ python3 -m pip install --upgrade hello-robot-stretch-body-tools
```

To install or upgrade to a pre-release of the Command Line Tools for Python3, run:

```bash
$ python3 -m pip install --upgrade --pre hello-robot-stretch-body-tools
```

Please report feedback on the [Issue Tracker](https://github.com/hello-robot/stretch_body/issues) or the [Forum](https://forum.hello-robot.com/).

Usage
-----

All of the command-line tools reside within the `bin/` folder. When this package is installed, they are accessible from anywhere as command-line tools. For example, to perform a robot system check, run:

```bash
$ stretch_robot_system_check.py
```

For more info on these tools, see the [tutorial](https://docs.hello-robot.com/0.2/stretch-tutorials/stretch_body/tutorial_command_line_tools/).

Developing
----------

The source code for the command-line tools resides within the `bin/` folder. You can install the tools package as "editable", and directly edit the source code to test changes.

In Python3, run `python3 -m pip install -e .`

For example, to test changes to the  `stretch_robot_home.py` script, run

```bash
$ python3 -m pip uninstall hello-robot-stretch-body-tools # ensure previous Stretch Body Tools installations are removed
$ git clone https://github.com/hello-robot/stretch_body.git
$ cd stretch_body/tools
$ python3 -m pip install -e .
```

Now, make desired edits to the [stretch_robot_home.py](./bin/stretch_robot_home.py) file. Executing the script on the command-line will now run your modified version.

Deploying
---------

Increment the version number and run the `deploy.sh` script. Verify the new release is reflected [on PyPI](https://pypi.org/project/hello-robot-stretch-body-tools/).