semvec/pypi-packages huggingface dataset:
quickbooks-desktop 1.0.1
Initial Release
Requires Python: >=3.8
Keywords: quickbooks desktop,quickbooks

<h1>quickbooks_desktop</h1> 
A Python 3 library for QuickBooks Desktop API.

The purpose of the project is to make QuickBooks <br>
Desktop more accessible in Python. This library <br>
uses QBXML instead of QBFC. <br>
<br>
<h2>Python 32 Bit vs. 64 Bit</h2>
Until 2022, QuickBooks was a 32 bit program.  Because <br>
of this, you will need to use a 32 bit version of Python. <br>
In 2022 QuickBooks did upgrade to 64 bit so if you're using <br>
QuickBooks version 2022 (or 22.0 for Enterprise) then <br>
a 64 bit version of Python may work.

<h2>Instructions</h2>
This package will handle all the complexities of dealing with<br>
Session Manager.

<h2>Getting Help</h2>
For a look at xml code you can go to QuickBooks <a href="https://static.developer.intuit.com/qbSDK-current/common/newosr/index.html">Onscreen Reference</a>
<h2>Discussion and Development</h2>
Most development discussions take place on GitHub in this repo.
sielc-dompser 0.6.0
This is an unofficial Python package to interface with SIELC Technologies, Inc products through DOMP (Device Objected Manager Protocol) serial communication. We are not affiliated with SIELC.
Requires Python: >=3.6

# Sielc Dompser

This is an  unofficial Python package to interface with SIELC Technologies, Inc products through DOMP (Device Objected Manager Protocol) serial communication. We are not affiliated with SIELC.

Products supported:
* Miniature autosampler
  * Based on the Autosampler serial protocol Rev. 110. See [this document](sielc_dompser/autosampler/Autosampler_Protocol_for_editing.pdf) for details

## Miniature autosampler
See [here](examples/autosampler.py) for an example of how to interface and control a miniature autosampler

Note that not all the functionality as specified in the protocol document has been implemented, and on testing, some
protocols did not work.
d-igloo 1.0
A command line tool to archive and retrieve project's data to and from Amazon AWS S3 Glacier for D-ICE Engineering needs.

# igloo

A command line tool to archive and retrieve project's data to and from Amazon AWS S3 Glacier for D-ICE Engineering needs.

# Prerequisites

You need personal AWS credentials on your system to connect to D-ICE AWS account.

# Installation

igloo is available from pipy package repository.

```shell
pip install d-igloo
```

# Upgrade

```shell
pip install d-igloo -U
```

# Usage

For usage of this tool, please refer directly to the help by using:

```shell
igloo --help
```
nf-validator 1.1.0
A package for validating name and surname
Requires Python: >=3.6

<<<<<<< HEAD
NF Validator
A simple and easy to use package for validating names and surnames written in Unicode.
-
Installation
-
You can install the nf_validator package using pip. To do so, open a terminal and run:


    pip install nf_validator


Usage
-
Here is an example of how to use the nf_validating function from the nf_validator package:


    import nf_validator

    name = "JÃ¼rgen MÃ¼ller"

    valid_name = nf_validator.nf_validating(name)

    if valid_name:

        print("Name is valid:", valid_name)

    else:

        print("Name is not valid")


In this example, the nf_validating function takes a string as an argument, splits it into a list of words, and then joins the words back into a single string. The resulting string is then normalized using the NFKD normalization form and encoded into ASCII, while ignoring any invalid characters. The final step is to check if the resulting string consists only of alphabetic characters. If so, the name is considered valid and the original, non-normalized string is returned. If not, the function returns False.

Contributing
If you would like to contribute to this package, please feel free to submit a pull request. All contributions are welcome!

License
This project is licensed under the MIT License. See the LICENSE file for details.
=======
# NF_validating
A simple Name Validation package, you can easily verify the validity of names in just a few lines of code
male-wakeup-wiki 2023.2.1.0
男性觉醒知识库
Requires Python: >=3.6

# 男性觉醒知识库

> 协议：[CC BY-NC-SA 4.0](http://creativecommons.org/licenses/by-nc-sa/4.0/)
> 
> 承认吧，我们是弱者，正因为生来什么都没有，因此我们能拥有一切，以身为弱者而骄傲吧！——《游戏人生》

* [在线阅读](https://mww.flygon.net)
* [在线阅读（Gitee）](https://apachecn.gitee.io/doc-template/)
* [ApacheCN 学习资源](http://docs.apachecn.org/)

## 红丸十二条军规

+   双价值：男性需要提升生存价值（钱）和情感价值（外貌和技巧）

+   发情：女性只会无条件服从列表中双价值总和排名10%的男性，称为【发情】。如果你的双价值都掉出了10%，她会主动离开。

+   转盘子：保证自己能够从一段关系中及时抽身，低成本换人，为此你需要认识足够的女生（新手包）【参见热插拔原则和沉没成本】。

+   生存价值剥离：如果女性感受到你只有生存价值，她会采取各种手段占为己有。所以不要让渡任何生存价值【参见东食西宿】。

+   独角兽和真命天女：不存在任何独角兽（考虑男性利益的女性）和真命天女（命中注定的女性）。切记不要按照电视剧把妹。

+   道德包袱：抛弃一切道德包袱，认识到你的本能刻在 DNA 中，应当遵循本能行事。并且不要在道德上批判女性，因为她们也在遵循本能，但可以使用各种技巧谋略。

+   反洗脑：远离打压和价值欺骗。受到这类洗脑后应重新阅读这个指南。

+   统一排位：不要直接对比男性和女性的价值，而是对比排位。这就好比买电脑不是看跑分而是看它在天梯榜的位置。

+   废物测试：定期对女伴做废物测试来筛选或甩尾。当然男性废物测试的内容不太一样，就是假装失败破产看对方反应。

+   神秘感：男性不应该让女性知道自己的全部情况，尤其是经济状况，要保留50%的真实水平，这样才能有意外的惊喜。

+   事业优先：不要让两性活动干扰了你的计划。有时间先去做你的事业，空余时间处理两性活动。

+   ManHelpsMan：男性应当有自己的小圈子，互帮互助，让男性（不是某个人）整体利益最大化。

## 联系方式

### 负责人

* [飞龙](https://github.com/jiangzhonglian): 562826179

### 其他

*   在我们的 [apachecn/male-wakeup-wiki](https://github.com/apachecn/male-wakeup-wiki) github 上提 issue.
*   发邮件到 Email: `apachecn@163.com`.
*   在我们的 [组织学习交流群](http://www.apachecn.org/organization/348.html) 中联系群主/管理员即可.

## 下载

### Docker

```
docker pull apachecn0/male-wakeup-wiki
docker run -tid -p <port>:80 apachecn0/male-wakeup-wiki
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install male-wakeup-wiki
male-wakeup-wiki <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g male-wakeup-wiki
male-wakeup-wiki <port>
# 访问 http://localhost:{port} 查看文档
```

## 赞助我们

![](http://data.apachecn.org/img/about/donate.jpg)
crosshatch 1.0.0
A pretty REPL for Vyxal.
Requires Python: >=3.10,<3.11

# Crosshatch

![Crosshatch Logo](logo.png)

Ever wanted to use [Vyxal](https://github.com/Vyxal/Vyxal), but found that the default REPL was lacking in features and that the online interpreter wasn't interactive enough? Well now there's a solution to all your read-execute-print-loop needs! Crosshatch is designed to be easy to use, visually appealing and highly interoperatable with the Vyxal programming language. 

## Installation

<!-- Uncomment when on PyPi

To get Crosshatch, simply install it with pip:

```
pip install crosshatch
```
--> 
If you want to work on Crosshatch, you can also use poetry. First, download this repository and unzip it. Alternatively, you can open it with Github Desktop or clone it via git.

Then, you'll need to install [Poetry](https://python-poetry.org/), which is the packing tool used for Crosshatch.

```
pip install poetry
```

Finally, run:

```
poetry install
```

and it will take care of installing all the required dependencies.

## Usage

To run Crosshatch:

```
crosshatch
```

Or if you want to do development work on it:

```
poetry run crosshatch
```

After starting Crosshatch, you'll see something like the following:

```
Vyxal 2.19.0 using Python 3.10.9 (tags/v3.10.9:1dd9be6, Dec  6 2022, 20:01:21) [MSC v.1934 64 bit (AMD64)] on win32.
Type ##help for more information.
EOF or ##exit to exit.

[0] vyxal>
```

Enter your expressions after the `>` and they will be evaluated. The `[0]` indicates that this is expression 0.
Genr 0.1.2
A library to cater all your NLP tasks using LLMs
Requires Python: >=3.7.0

# Genr

This is a python package built on top of OpenAI's language API, designed to perform various tasks such as summarization, Q&A preparation, text-to-dialogue conversion, NER, and more.

## Features

| Feature | Status |
| --- | --- |
| Text Summarization | Implemented |
| Text to Prompt | Implemented |
| Question and Answer Preparation | Pending |
| Text-to-Dialogue Conversion | Pending |
| Named Entity Recognition (NER) | Pending |
| Text Generation | Pending |
| Translation | Pending |

## Getting Started

To use this package, you need to sign up for an API key from OpenAI to access their language API.

1. Clone the repository to your local machine:

 ```bash
 git clone https://github.com/psytech42/genr.ai/
 ```
 

2. Install the dependencies:

```bash
pip install -r requirements.txt
```

3. Use the package in your code:

```python
from Genr.genr import OpenAI

# Initialize the API with your API key
openai = OpenAI("YOUR_API_KEY")

# Use the desired function to perform the task
result = openai.summarize("Your text here")

print(result)
```
sharepoint-upload 0.0.1
A package to establish a connection to SharePoint site, and upload files through that connection
Requires Python: >=3.10

# Upload to SharePoint
A library to upload files to sharepoint.

This library depends on office 365 library, and it will use active directory authentication to connect to SharePoint.

## Installation
In order to install this library you need to obtain an `SSH code`

Use pip to install this library from Github:

    pip install git+ssh://git@github.com/mo-sij-inso/sharepoint_upload.git

## Requirements
First you need to initialize the the sharepoint connection, which is an object.
You have two options, either use embedded credentials in environment variables:

`USERNAME` for office365 email

`PASSWORD` for office365 password


Then you can use this call:

    sp = sp_folder(site_url)

The second option is to provide the credentials in the class call:

    sp = sp_folder(site_url,username,password)

Once the object is created successfully, you can call use `send_file` method to upload the files to sharepoiont

## Example
    site_url = "https://insongosafety.sharepoint.com/teams/TechnologyInnovation"
    target = "/teams/TechnologyInnovation/Shared Documents/General/Information Management/99. Resources/01. Executive Dashboard data"
    file = '1.txt'
    sp = sp_folder(site_url)
    sp.send_file(file,target)