semvec/pypi-packages huggingface dataset:
giskard-toolbox 0.1.0
A random collection of tools I find useful for data science.
Requires Python: >=3.7, <4
Keywords: data science,plotting

# Giskard

A random collection of tools I find useful for data science. A.K.A. my helpful robot 
companion (the name comes from the [*Robot* series](https://en.wikipedia.org/wiki/List_of_Robot_series_characters#R._Giskard_Reventlov)).

For the most part these are functions, classes, etc. that I have found useful in more
than one project, so I decided to make a package for them for my own sanity. Some of
these functions may be PRed upstream eventually, others may not. If you find anything 
in here useful please let me know as that is the best motivation to PR that 
functionality into a "real" repo. If you find any issues or bugs, feel free to 
[make an issue](https://github.com/bdpedigo/giskard/issues).

## Installation
Since I make changes to this code often I recommend installing in develop mode.
To clone from GitHub and install, from the command line do:
```
git clone https://github.com/bdpedigo/giskard.git
cd giskard
pip install -e .
```
mozilla-aws-cli-mozilla 1.3.1
Mozilla specific deployment of the mozilla_aws_cli
Keywords: maws Mozilla AWS CLI config

# mozilla_aws_cli_mozilla

This Python package implements the [`mozilla_aws_cli_config` API](https://github.com/mozilla-iam/mozilla-aws-cli#creating-enterprise--organization-configuration)
and configures a deployment of [`mozilla-aws-cli`](https://pypi.org/project/mozilla-aws-cli/)
with the specific configuration settings for Mozilla employees and contributors.

This package is only needed if you intend to use the `maws` to access AWS 
accounts owned by Mozilla.

To install it, run
```
pip install --user mozilla-aws-cli-mozilla
```