semvec/pypi-packages huggingface dataset:
quantum-lab 0.2.0
A small example package
Requires Python: >=3.6

quantum_lab

## Requirements
### Python Package
- setuptools: Python 라이브러리 및 확장을 배포하는데 일반적으로 사용되는 익스텐션 라이브러리입니다.
- wheel: wheel은 파이썬의 build package로 일반적인 source distribution보다 더 빠른 설치가 가능하여서 공식적으로 권장되는 포맷이다. 
- twine: pypi에 업로드하기 위한 패키지입니다.

## How To Use
1. File and config info : https://sdt.atlassian.net/wiki/spaces/SVC/pages/2322661469/python+QCC+python+Package
2. Upload package
- 패키지 빌드
```
$ cd notebook-job-py-package
$ python3 setup.py sdist bdist_wheel
```
- 패키지 업로드 - 업로드 시 pypi 계정 정보를 입력해야 합니다.
```
$ python3 -m twine upload dist/*
Uploading distributions to https://upload.pypi.org/legacy/
Enter your username: sujunelee                                                  
Enter your password: ************
```
3. Run
- Download package.
```
$ pip3 install quantum_lab
```
- Run code
```
from quantum_lab import resources
from quantum_lab import jobs
import json

## Resource 조회
result = resources.getResource()

## Job 객체 생성
q_job = jobs.quantum_lab("minkyu.kim@sdt.inc", 1, "june-w", "hardware qcc")

## Job 생성
q_job.create("pythoncode", 2, "/home/jovyan/june/june-w/test.py")

## Job 전체 조회
result = q_job.getList()

## Job 조회
result = q_job.getJob(279)

## Job 삭제
result = q_job.delete(278)
```
pymermaid2dir 1.0.0
Python module for simple reading of Excel(.xlsx)
Requires Python: >=3.8

# pymermaid2dir

A Python package for converting directory structures to Markdown's Mermaid syntax.

pymermaid2dir is a Python package that allows you to convert directory structures into Markdown's Mermaid syntax, making it easy to visualize your file and folder hierarchy. With pymermaid2dir, you can easily generate diagrams and flowcharts that represent the structure of your project.

## Installation

You can install pymermaid2dir using pip:

```python
pip install pymermaid2dir
```

## Usage

To use pymermaid2dir, simply run the pymermaid2dir module on the command line to convert the directory structure to mermaid.

```shell
usage: pymermaid2dir [-h] --folder FOLDER --output OUTPUT [-v]

pymermaid2dir

options:
  -h, --help            show this help message and exit
  --folder FOLDER, -f FOLDER
                        Input Root Folder
  --output OUTPUT, -o OUTPUT
                        Output Mode
  -v, --version         show program's version number and exit
```

### Exsample

```shell
# command
python3 -m pymermaid2dir -f sample -o markdown

# result
\```mermaid
graph TD;
  28191270[sample]-->28191273[f1.txt];
  28191270[sample]-->28191278[f2.txt];
\```
```

> Currently, only markdown output is available, so be sure to run with `-o markdown`.

## License

pymermaid2dir is distributed under the MIT License. See the LICENSE file for more information.

We hope this helps you get started with your pymermaid2dir project on GitHub! Let us know if you have any other questions or if there's anything else we can do to assist you.
schemaguesser-package 1.0.1
A tool for reading csv files and generating a matching Database Table in either BigQuery, Postgres or MySQL.
Requires Python: >=3.7

# guess_schema
A tool for reading csv files and generating a matching Database Table in either BigQuery, Postgres or MySQL.

### install with pip
pip install guess_schema_package

### command line test
py -m guess_schema_package.guess_schema

### Quick Start Guide
https://github.com/daveskura/postgresdave/blob/main/QuickStart.md

### Methods
https://github.com/daveskura/postgresdave/blob/main/methods.md