semvec/pypi-packages huggingface dataset:
lkml 1.3.7
A speedy LookML parser implemented in pure Python.
License: MIT
Keywords: lookml looker parser

[![CircleCI](https://img.shields.io/circleci/build/github/joshtemple/lkml.svg)](https://circleci.com/gh/joshtemple/lkml)
[![Codecov](https://img.shields.io/codecov/c/github/joshtemple/lkml.svg)](https://codecov.io/gh/joshtemple/lkml)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![Read the Docs](https://img.shields.io/readthedocs/lkml)](https://lkml.readthedocs.io/en/latest/)

# lkml

A speedy LookML parser and serializer implemented in pure Python.

**Read the documentation on [Read the Docs](https://lkml.readthedocs.io/en/latest/).**

`lkml.load` parses LookML strings to Python objects or JSON strings. `lkml.dump` serializes (generates) LookML strings from Python objects.

Why should you use `lkml`?
- Tested on **over 160K lines of LookML** from public repositories on GitHub
- Parses a typical view or model file in < **10 ms** (excludes I/O time)
- Written in pure, modern Python 3.7 with **no external dependencies**
- A **full unit test suite** with excellent coverage

Interested in contributing to `lkml`? Check out the [contributor guidelines](CONTRIBUTING.md).

## How do I install it?

`lkml` is available to install on [pip](https://pypi.org/project/lkml/) via the following command:

```
pip install lkml
```
CobsTicketToy 0.2.1
It's about my hobby
License: MIT
Requires Python: >=3.10

# Usage
``` 
Usage: cob-t [OPTIONS] KEYWORD ASORDE WOTBY

╭─ Arguments ──────────────────────────────────────────────╮
│ *    keyword      TEXT  [default: None] [required]       │
│ *    asorde             [default: None] [required]       │
│ *    wotby        TEXT  [default: None] [required]       │
╰──────────────────────────────────────────────────────────╯
╭─ Options ────────────────────────────────────────────────╮
│ --help          Show this message and exit.              │
╰──────────────────────────────────────────────────────────╯


$ cob-t "eminem" False "highest_price"

                                name  sales retail_price  average_sale_price  highest_price  lowest_price release_date
      Jordan 4 Retro Eminem Carhartt      3                             8833          10500          7000   11/23/2015
Jordan 2 Retro Eminem (The Way I Am)      9          110                3249           4999          2700   12/18/2008
```

```
$ cob-t "jordan 1 retro" False "average_sale_price"
```

- "찾을 신발 이름" jordan 1 retro"(ex : jordan 3,jordan 5 retro)<br/>혹은 닉네임 키워드로 검색가능(ex : black toe,chicago)
- 평균리세일가격 내림차순으로 볼 경우 Fasle 오름차순으로 볼경우 True 입력
- "average_sale_price" wotby 자리에 입력 시 평균 리세일 가격 기준 출력<br/>"highest_price" 입력시 최고액 판매가 기준 출력 
- 금액은 USD $ 입니다.

# Dev
```
$ source .venv/bin/activate
$ pdm add pandas
$ pdm add -dG eda jupyterlab
```

# Ref
- [kaggle.com/kailingding](https://www.kaggle.com/datasets/kailingding/air-jordans-on-stockx)



# CobsTicketToy
First project of my toy project<br/>It's about my hobby
PyMetaFile 0.1.0
A library for extracting metadata from files
License: MIT
Requires Python: >=3.1

# PyMetaFile
pyfilemeta é uma biblioteca Python leve para extração de metadados de arquivos, incluindo tamanho, datas de criação e modificação, tipo MIME e hashes (MD5, SHA256). Ideal para verificação de integridade e organização de arquivos. 🚀

## Bulld local

### Execute tests
```bash
pip install pytest
pytest
```

### Install tools
```bash
pip install build twine
```

### Build the package
```bash
python -m build
```

### Test install on PyPI
```bash
twine upload --repository testpypi dist/*
```
(Go to: https://test.pypi.org to test the installation)


## How to use this package
```bash
pip install PyMetaFile
```