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.github/CODE_OF_CONDUCT.md

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# Contributor Covenant Code of Conduct
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## Our Pledge
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We as members, contributors, and leaders pledge to make participation in our
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community a harassment-free experience for everyone, regardless of age, body
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size, visible or invisible disability, ethnicity, sex characteristics, gender
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identity and expression, level of experience, education, socio-economic status,
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nationality, personal appearance, race, caste, color, religion, or sexual
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identity and orientation.
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We pledge to act and interact in ways that contribute to an open, welcoming,
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diverse, inclusive, and healthy community.
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## Our Standards
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Examples of behavior that contributes to a positive environment for our
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community include:
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* Demonstrating empathy and kindness toward other people
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* Being respectful of differing opinions, viewpoints, and experiences
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* Giving and gracefully accepting constructive feedback
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* Accepting responsibility and apologizing to those affected by our mistakes,
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and learning from the experience
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* Focusing on what is best not just for us as individuals, but for the overall
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community
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Examples of unacceptable behavior include:
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* The use of sexualized language or imagery, and sexual attention or advances of
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any kind
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* Trolling, insulting or derogatory comments, and personal or political attacks
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* Public or private harassment
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* Publishing others' private information, such as a physical or email address,
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without their explicit permission
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* Other conduct which could reasonably be considered inappropriate in a
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professional setting
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## Enforcement Responsibilities
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Community leaders are responsible for clarifying and enforcing our standards of
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acceptable behavior and will take appropriate and fair corrective action in
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response to any behavior that they deem inappropriate, threatening, offensive,
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or harmful.
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Community leaders have the right and responsibility to remove, edit, or reject
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comments, commits, code, wiki edits, issues, and other contributions that are
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not aligned to this Code of Conduct, and will communicate reasons for moderation
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decisions when appropriate.
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## Scope
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This Code of Conduct applies within all community spaces, and also applies when
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an individual is officially representing the community in public spaces.
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Examples of representing our community include using an official e-mail address,
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posting via an official social media account, or acting as an appointed
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representative at an online or offline event.
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## Enforcement
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Instances of abusive, harassing, or otherwise unacceptable behavior may be
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reported to the community leaders responsible for enforcement at
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All complaints will be reviewed and investigated promptly and fairly.
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All community leaders are obligated to respect the privacy and security of the
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reporter of any incident.
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## Enforcement Guidelines
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Community leaders will follow these Community Impact Guidelines in determining
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the consequences for any action they deem in violation of this Code of Conduct:
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### 1. Correction
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**Community Impact**: Use of inappropriate language or other behavior deemed
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unprofessional or unwelcome in the community.
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**Consequence**: A private, written warning from community leaders, providing
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clarity around the nature of the violation and an explanation of why the
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behavior was inappropriate. A public apology may be requested.
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### 2. Warning
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**Community Impact**: A violation through a single incident or series of
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actions.
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**Consequence**: A warning with consequences for continued behavior. No
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interaction with the people involved, including unsolicited interaction with
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those enforcing the Code of Conduct, for a specified period of time. This
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includes avoiding interactions in community spaces as well as external channels
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like social media. Violating these terms may lead to a temporary or permanent
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ban.
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### 3. Temporary Ban
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**Community Impact**: A serious violation of community standards, including
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sustained inappropriate behavior.
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**Consequence**: A temporary ban from any sort of interaction or public
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communication with the community for a specified period of time. No public or
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private interaction with the people involved, including unsolicited interaction
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with those enforcing the Code of Conduct, is allowed during this period.
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Violating these terms may lead to a permanent ban.
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### 4. Permanent Ban
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**Community Impact**: Demonstrating a pattern of violation of community
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standards, including sustained inappropriate behavior, harassment of an
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individual, or aggression toward or disparagement of classes of individuals.
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**Consequence**: A permanent ban from any sort of public interaction within the
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community.
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## Attribution
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This Code of Conduct is adapted from the [Contributor Covenant][homepage],
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version 2.1, available at
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[https://www.contributor-covenant.org/version/2/1/code_of_conduct.html][v2.1].
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Community Impact Guidelines were inspired by
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[Mozilla's code of conduct enforcement ladder][Mozilla CoC].
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For answers to common questions about this code of conduct, see the FAQ at
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[https://www.contributor-covenant.org/faq][FAQ]. Translations are available at
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[https://www.contributor-covenant.org/translations][translations].
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[homepage]: https://www.contributor-covenant.org
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[v2.1]: https://www.contributor-covenant.org/version/2/1/code_of_conduct.html
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[Mozilla CoC]: https://github.com/mozilla/diversity
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[FAQ]: https://www.contributor-covenant.org/faq
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[translations]: https://www.contributor-covenant.org/translations

CONTRIBUTING.md

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# pins-python
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## Development
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### Install pins with dev dependencies
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```shell
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python -m pip install -e .[dev]
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```
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### Install pre-commit hooks
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This project uses [pre-commit](https://pre-commit.com/) to check and format each commit.
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You can set it up by running the following code in this repo:
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```
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python -m pip install pre-commit
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pre-commit install
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```
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### Setting version number
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This project uses [setuptools_scm](https://github.com/pypa/setuptools_scm) to
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automatically track and change version numbers within the `pins` package.
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It works by checking the last tagged commit.
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In order to set the version number, create a tag like the following.
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```shell
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git tag v0.0.1
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```
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In order to see the version number being used for the current commit, run:
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```
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python -m setuptools_scm
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```
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## Test
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Tests can be run using pytest:
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```shell
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pytest pins
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# run all tests except those for Rstudio Connect
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pytest pins -m 'not fs_rsc'
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# run only local filesystem backend tests
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pytest pins -m 'fs_file'
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```
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There are two important details to note for testing:
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* **Backends**. pins can write to backends like s3, azure, and RStudio Connect, so you
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will need to set credentials to test against them.
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* **Pytest Marks**. You can disable tests over a specific backend through pytest's
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`-m` flag. For example...
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- Skip S3: `pytest pins -m 'not fs_s3'`
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- Test only s3: `pytest pins -m 'fs_s3'`
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- List all marks: `pytest pins --markers`
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### Configuring backends
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* Copy `.env.dev` to be `.env`
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* Modify `.env` to file in environment variables (e.g. AWS_ACCESS_KEY_ID)
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* Be careful not to put any sensitive information in `.env.dev`!
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### Setting up RStudio Connect tests
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```
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# Be sure to set RSC_LICENSE in .env
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make dev
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```

Makefile

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$(RSC_API_KEYS): dev-start
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python script/setup-rsconnect/dump_api_keys.py $@
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README.md: README.Rmd
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jupytext --from Rmd --to ipynb --output - $^ \
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| jupyter nbconvert \
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--stdin --to markdown \
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--execute \
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--ExecutePreprocessor.kernel_name='venv-pins-python' \
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--TagRemovePreprocessor.remove_all_outputs_tags='hide-cell' \
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--TagRemovePreprocessor.remove_input_tags='hide-cell' \
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--output $@
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test:
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pytest
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README.Rmd

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```{python tags=c("hide-cell")}
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# this keeps the pandas dataframe repr from spitting out scoped style tags
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# which don't render on github
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import pandas as pd
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pd.set_option("display.notebook_repr_html", False)
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```
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# pins-python
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[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/machow/pins-python/HEAD)
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The pins package publishes data, models, and other python objects, making it
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easy to share them across projects and with your colleagues. You can pin
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objects to a variety of pin *boards*, including folders (to share on a
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networked drive or with services like DropBox), RStudio Connect, and Amazon
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S3.
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Pins can be automatically versioned, making it straightforward to track changes,
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re-run analyses on historical data, and undo mistakes.
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## Installation
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```shell
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python -m pip install pins
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```
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## Usage
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See the [documentation](https://rstudio.github.io/pins-python) for getting started.
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To use the pins package, you must first create a pin board. A good place
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to start is `board_folder()`, which stores pins in a directory you
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specify. Here I’ll use a special version of `board_folder()` called
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`board_temp()` which creates a temporary board that’s automatically
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deleted when your Python script or notebook session ends. This is great for examples, but
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obviously you shouldn't use it for real work!
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```{python}
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import pins
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from pins.data import mtcars
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board = pins.board_temp()
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```
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You can “pin” (save) data to a board with the `.pin_write()` method. It requires three
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arguments: an object, a name, and a pin type:
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```{python}
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board.pin_write(mtcars.head(), "mtcars", type="csv")
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```
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Above, we saved the data as a CSV, but depending on
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what you’re saving and who else you want to read it, you might use the
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`type` argument to instead save it as a `joblib` or `arrow` file (NOTE: arrow is not yet supported).
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You can later retrieve the pinned data with `.pin_read()`:
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```{python}
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board.pin_read("mtcars")
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```
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A board on your computer is good place to start, but the real power of
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pins comes when you use a board that’s shared with multiple people. To
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get started, you can use `board_folder()` with a directory on a shared
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drive or in dropbox, or if you use [RStudio
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Connect](https://www.rstudio.com/products/connect/) you can use
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`board_rsconnect()`:
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```python
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# Note that this uses one approach to connecting,
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# the environment variables CONNECT_SERVER and CONNECT_API_KEY
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board = pins.board_rsconnect()
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board.pin_write(tidy_sales_data, "hadley/sales-summary", type="csv")
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```
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Then, someone else (or an automated report) can read and use your
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pin:
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```python
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board = board_rsconnect()
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board.pin_read("hadley/sales-summary")
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```
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You can easily control who gets to access the data using the RStudio
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Connect permissions pane.
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The pins package also includes boards that allow you to share data on
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services like Amazon’s S3 (`board_s3()`), with plans to support other backends--
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such as Azure's blob storage.
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## Development
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See [CONTRIBUTING.md](CONTRIBUTING.md)

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