semvec/pypi-packages huggingface dataset:
prettyAnything 0.0.1
prettyAnything provides you the compatibility to prettify everything with Python

# prettyAnything
**prettyAnything** (**still in the development phase**) gives you the compatibility to prettify everything with Python.

Current Available Features -
- `prettyDatabricks` (class)
    Makes Databricks Cool
    **Methods**
     - `pretty_ls` (static-method)
        Makes Databricks dbutils.fs.ls(path) Cool
        **Arguments**
        - `path` [**required**]
        - `theme="light"`
        - `sizeChecker=True`
        - `timeChecker=True`
     - `df_ls` (static-method)
        Makes Databricks dbutils.fs.ls(path) Productive
        **Arguments**
        - `path` [**required**]
        - `number_of_layers=30`
        - `spark_session_object=spark`

**`EVOLVING`** Follow on [GitHub](https://github.com/niladridasgit/prettyAnything)
dataos-cookiecutter 0.0.5
Dataos Cookiecutter
Requires Python: >=3.7

# dataos-cookiecutter

**dataos-cookiecutter** package provides commands to facilitate various tasks of Lens2, enabling users to efficiently generate templates, perform schema checks, generate data quality checks yaml, and create Board YAML configurations.

## Installation

You can install **dataos-cookiecutter** via pip:

```bash
pip install dataos-cookiecutter
```

## Usage

dataos-cookiecutter offers several commands to simplify Lens2-related tasks:

1. **lens2 lens**: This command allows users to get started by creating a sample template along with folder structure, which they can modify based on their needs. It includes two flags:
   - `-n lens_name`: Specifies the name of the Lens.
   - `-s source_type`: Specifies the type of data source.

    ```bash
    lens2 create -n <lens2_name> -d <lens2_dir_name> -s <source_type>
    ```

2. **lens2 checks**: This command provides two subcommands:
   - **schema-check**: Validates that all dimensions used in Lens2 tables are fulfilled by the SQL provided of table.
   - **create**: Creates checks YAML files and stores them in the checks folder.

    ```bash
    # Validate dimensions in Lens2 tables
    lens2 checks schema-check -n tables/views '(comma separated)'
    
    # Create checks YAML files
    lens2 checks create -n tables/views '(comma separated)'
    ```

3. **lens2 board**: This command provides two subcommands for Board related tasks:
   - **create**: Creates View Board YAML made public in Lens2 and stores files in the boards/view_name folder.
   - **start**: Uses the generated Board content and starts Board to explore. This command only requires a view name (not comma separated values).

    ```bash
    # Create Board dashboard YAML for Lens2 views
    lens2 board create -n views '(comma separated)'
    
    # Start Board with generated content of View
    lens2 board start -n view_name
    ```
pynurbs 1.1.0
NURBS python object-oriented library
Requires Python: <4.0,>=3.7

[![Documentation Status][docs-img]][docs-url]
[![Build Status][build-img]][build-url]
[![Lint with Black][lintblack-img]][lintblack-url]
[![Code Coverage][coverage-img]][coverage-url]

[![PyPI Version][pypi-img]][pypi-url]
[![Python Versions][pyversions-img]][pyversions-url]
[![License: MIT][license-img]][license-url]

![pynurbs logo](docs/source/img/logo.svg)

A pure object-oriented python package for parametrized geometry which supports [Custom objects](https://pynurbs.readthedocs.io/en/latest/rst/custom_objects.html).


## Features

* [X] Evaluate points
* [X] Insert and remove knots
* [X] Degree increase and decrease
* [X] Split and unite curves
* [X] Math operations (``+``, ``-``, ``*``, ``/``, ``@``)
* [X] Projection of point in curve
* [X] Intersection of two curves
* [X] Derivative of curves
* [X] Line Integral
* [X] Curve fitting
* [X] Function fitting
* [X] Points fitting
* [ ] Reparameterize curve

## Install

This library is available in [PyPI][pypi-url]. To install it

```
pip install pynurbs
```

For more details, refer to the [documentation][docs-url].

## Documentation

The documentation can be found at [pynurbs.readthedocs.io][docs-url]


## Contribute

Please use the [Issues][issues-url] or refer to the email ```compmecgit@gmail.com```

<!-- Badges: -->

<!-- Badges: -->

[nurbswiki-url]: https://pt.wikipedia.org/wiki/NURBS
[lintblack-img]: https://github.com/compmec/pynurbs/actions/workflows/black.yaml/badge.svg
[lintblack-url]: https://github.com/compmec/pynurbs/actions/workflows/black.yaml
[docs-img]: https://readthedocs.org/projects/pynurbs/badge/?version=latest
[docs-url]: https://pynurbs.readthedocs.io/en/latest/?badge=latest
[pypi-img]: https://img.shields.io/pypi/v/pynurbs
[pypi-url]: https://pypi.org/project/pynurbs/
[build-img]: https://github.com/compmec/pynurbs/actions/workflows/build.yaml/badge.svg
[build-url]: https://github.com/compmec/pynurbs/actions/workflows/build.yaml
[coverage-img]: https://codecov.io/gh/compmec/pynurbs/branch/main/graph/badge.svg?token=vfGMPe9W3I
[coverage-url]: https://codecov.io/gh/compmec/pynurbs
[pyversions-img]: https://img.shields.io/pypi/pyversions/pynurbs.svg?style=flat-square
[pyversions-url]: https://pypi.org/project/pynurbs/
[license-img]: https://img.shields.io/pypi/l/ansicolortags.svg
[license-url]: https://github.com/compmec/pynurbs/blob/main/LICENSE.md
[pypi-url]: https://pypi.org/project/pynurbs/
[issues-url]: https://github.com/compmec/pynurbs/issues