semvec/pypi-packages huggingface dataset:
PinPointClient 0.0.10
PinPoint Aws Pinpoint SMS/Mail Client Python package
Requires Python: >=3.6

[![PyPI version](https://img.shields.io/pypi/v/PinPointClient.svg)](https://pypi.python.org/pypi/PinPointClient)

# PinPointClient Python PyPackage

PinPoint is Aws Sms Service. PinPointClient is a Python library to access services quickly.

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install foobar.

```bash
pip install PinPointClient
```
## Environment Variables

```bash
REGION: aws region
PINPOINT_MESSAGE_TYPE: message type
PINPOINT_APPLICATION_ID: application id
AWS_ACCESS: aws access key id
AWS_SECRET: aws secret access key
CHANNEL_TYPE: channel type
```
### Note
If you don't want to set this variables from global environment you can pass them to class.
You can see usage below
## Usage

```python
from pinpoint import GsmService
kwargs = {
    # you can also set region from environment.
    'region': 'region', # Default value : 'eu-central-1'
    # you can also set message type from environment.
    'message_type': 'message type',  # Default value : 'TRANSACTIONAL'
    # you can also set channel type from environment.
    'channel_type': 'channel type',  # Default value : 'SMS' 
    # you can also set application id type from environment.
    'applicationId': 'application id',  # Default value : None
     # you can also set aws access key id type from environment.
    'aws_access': 'aws access key id',  # Default value : None
    # you can also set aws secret access key type from environment.
    'aws_secret': 'aws secret access key',  # Default value : None
}
gsm_service = GsmService(**kwargs)
gsm_service.send(phone='Phone Number (+905551234567)', message='Your Message')
```

## Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

## License

[MIT](https://choosealicense.com/licenses/mit/)
ProteoformQuant 0.53
A python command line tool for the quantification of peptidoform/proteoforms

# Proteoformquant

Proteoformquant is a Python tool for quantitative analysis of proteoforms from mass spectrometry data.

## Setup/Installation

To use Proteoformquant, you need to create a new Conda environment using Mamba package manager.

### 1. Install Mamba

Mamba is a fast package manager for Conda environments. You can install it using Conda itself by running the following command:

# Proteoformquant

Proteoformquant is a Python tool for quantitative analysis of proteoforms from mass spectrometry data.

## Setup/Installation

To use Proteoformuant, you can create a Conda environment using the provided 'environment.yml' file. This can be done using Conda directly, however we recommend using the Mamba package manager.

### 1. Install Conda (and Mamba)

If not already done, install Conda (https://docs.conda.io/projects/conda/en/stable/user-guide/install/index.html#regular-installation)

If you wish to use Manda to create the Conda environment (faster) you can install mamba by running the following command in a terminal:

```bash
conda install mamba -n base -c conda-forge
```

### 2. Install Conda (and Mamba)

Next, create the environment using either Conda or Mamba by running the following command in the folder

```bash
# With Conda
conda env create --file environment.yml
#With Manba
mamba env create --file environment.yml
```

## Usage

```bash

```

## Contributing

## License
tweetben 0.0.1
This is for text preprocessing

# Text and Tweet Preprocessing package



This package is created by Behdad (Ben) Ehsani. The package is designed for cleaning tweets on Twitter immediately and with one-shot coding. Additionally, some functions can be used for text preprocessing. An example is provided to demonstrate efficient usage.


## Installing the library

`pip install preprocessing-text-ben`

## Unistalling the library

`pip uninstall preprocessing-text-ben`



Example of one-shot cleaning the code: 

```
import preprocessing-text-ben as pp

def get_clean(x):
    
    # Convert the string to lowercase
    x = str(x).lower()
    
    # Expand contractions like "don't" to "do not"
    x = pp.cont_to_exp(x)
    
    # Remove any email addresses from the string
    x = pp.remove_emails(x)
    
    # Remove any URLs from the string
    x = pp.remove_urls(x)
    
    # Remove any HTML tags from the string
    x = pp.remove_html_tags(x)
    
    # Remove any retweet tags (RT) from the string
    x = pp.remove_rt(x)
    
    # Remove any accented characters from the string
    x = pp.remove_accented_chars(x)
    
    # Remove any special characters from the string
    x = pp.remove_special_chars(x)
    
    # Return the cleaned string
    return x


#here is the cleaned text in one shot
df['your_cleaned_column'] = df['your_text_column'].apply(lambda x: get_clean(x))

```






version: 0.0.1
text-tweet-ben 0.0.1
This is for text preprocessing

# Text and Tweet Preprocessing package



This package is created by Behdad (Ben) Ehsani. The package is designed for cleaning tweets on Twitter immediately and with one-shot coding. Additionally, some functions can be used for text preprocessing. An example is provided to demonstrate efficient usage.


## Installing the library

`pip install preprocessing-text-ben`

## Unistalling the library

`pip uninstall preprocessing-text-ben`



Example of one-shot cleaning the code: 

```
import preprocessing-text-ben as pp

def get_clean(x):
    
    # Convert the string to lowercase
    x = str(x).lower()
    
    # Expand contractions like "don't" to "do not"
    x = pp.cont_to_exp(x)
    
    # Remove any email addresses from the string
    x = pp.remove_emails(x)
    
    # Remove any URLs from the string
    x = pp.remove_urls(x)
    
    # Remove any HTML tags from the string
    x = pp.remove_html_tags(x)
    
    # Remove any retweet tags (RT) from the string
    x = pp.remove_rt(x)
    
    # Remove any accented characters from the string
    x = pp.remove_accented_chars(x)
    
    # Remove any special characters from the string
    x = pp.remove_special_chars(x)
    
    # Return the cleaned string
    return x


#here is the cleaned text in one shot
df['your_cleaned_column'] = df['your_text_column'].apply(lambda x: get_clean(x))

```






version: 0.0.1
ads-pytest-parser 0.0.2
Associate DevOps test cases with pytest XML results
Requires Python: >=3.10

![Version](https://img.shields.io/pypi/v/ads-pytest-parser.svg)

# Pytest Parser to Azure DevOps Test Case
Associate DevOps test cases with pytest nunit XML results


## Usage
The parser should be run on an Azure DevOps ```pytest-azurepipelines``` generated XML file, because it searches for the following attributes:
- "test-case"
  - "methodname"
  - "result"

The Python script requires the following arguments:
- org: Azure DevOps organization name
- project: Azure DevOps project name
- plan: Azure DevOps test plan name
- suite: Azure DevOps test suite name
- auth: Azure DevOps personal access token
- xml: pytest-azurepipelines generated XML file

The test cases should be named in the following format: ```testcase_<DevOpsID>``` , i.e. ```def testcase_123456():```

For example:
```
ads-pytest-parser org project planID suiteID authToken test.xml
```

The script will then associate the test cases with the test results - for the test cases the outcome will be set.
tello-sdk 2.4.2
Python SDK fro the Tello EDU and RMTT drones, with all commands and more.
Requires Python: >=3.6.0
Keywords: tello,drone,sdk,python,python3,rmtt,edu,telloedu,tello-rmtt,tello-edu,sdk

# Python Tello

This is a library for easy usage of the Ryze Tello drone education edition and RoboMaster Tello Talent. Beginner Friendly! <br />
**Current Version:**
_2.4.2_ <br />
SDK 3.0 is **here** and **tested**!

## Requirements:

- Python 3.6 or higher installed on your system (get it on [python.org](https://www.python.org/))
- Ryze Tello EDU Edition (get one [here](https://www.ryzerobotics.com/tello-edu)) OR RoboMaster Tello Talent (get one [here](https://store.dji.com/product/robomaster-tt))
- This package

## Documentation

To see the documentation, please go to the GitHub Wiki of this project, available [here](https://github.com/ErnGusMik/python-tello/wiki)

## Getting Started

You can get this package on PyPi (pip) and GitHub.
To donwload using GitHub, please click [this link](https://github.com/ErnGusMik/python-tello/archive/refs/heads/main.zip). The package will start downloading.
To download using pip, enter the following in your terminal interface (Command Prompt on Windows):

```bash
user@os$ pip install tello-sdk
```

[More info in the Docs](https://github.com/ErnGusMik/python-tello/wiki)

## Usage

The library is beginner friendly. Even if you are new to programming, usage should be easy.
The Tello SDK library is made of callable functions that make the drone do something.

[Refer to the Docs](https://github.com/ErnGusMik/python-tello/wiki)

## Licence

This library is licenced under the MIT licence.<br/>

This is not the official Tello/RMTT SDK