semvec/pypi-packages huggingface dataset:
sapmanager 1.2.4
An unofficial library to run SAP logged into the selected ambient with the credentials provided, facilitating Scripting.
License: MIT


# Welcome to Sap Manager!

A library that facilitates the creation of a session in SAP, through the credentials provided and information from the environment, promoting the ease of logging in and working with SAP's native Scripting.

# Sap

A **Class** who starts SAP logged into the selected system with the credentials provided, facilitating Scripting.

## Attributes

| Attribute | Type |
| -------- | ------------------ |
| system | **str** |
| mandt | **str** |
| user | **str** |
| password | **str** |
| path | **str** or **None**|

- **system**: the system (by SID) you will use.

- **mandt**: the mandt you will use in the system.

- **user**: the user of the account you will use to login.

- **password**: the password of the account you will use to login.

- **path**: the path to saplogon.exe, If **None** the path used in the **default SAP installation will be used**.

- **language**: the language that will be used in SAP, by default is "EN".

- **timeout**: the timeout max value that will be used in SAP to connect into system, default is 10.

Example:
```
from sapmanager import Sap

session = Sap("PRD", "500", "Renks", "password")
```
>After success, it will be possible to use the SAP scripting with your account already logged in the selected system.


## Returns

Returns an object of type **win32com.client.CDispatch** ready to use an SAP session, by convention the variable is named "session".
spotify-playlist 0.3.6
spotify-playlist
License: MIT
Requires Python: >=3.8.0

# spotify playlist

## Setup

After cloning this repo, run the commands below to install this package.

```bash
# create a virtual env before installing if you prefer
(virtualenv env)
(source env/bin/activate)
cd path/to/package
pip install -e .
```

## Packaging

Ensure `setuptool`, `pip`, `wheel` and `build` are up to date.
To build source and wheel package use `python -m build`.
To upload package to PyPi use `twine`.

## Contributing

- Fork the project and clone locally.
- Create a new branch for what you're going to work on.
- Push to your origin repository.
- Create a new pull request in GitHub.
pyshoc 1.2.0
Tools for data analysis and reduction of data from the Sutherland High Speed Optical Cameras (SHOC). 📷🔭
License: MIT
Requires Python: >=3.8


pyshoc
======

**pyshoc** is a suite of object oriented tools for analysing data from the
Sutherland High Speed Optical Cameras (SHOC). 📷🔭

## Installation
```shell
pip install pyshoc
```

## Use
To run the reduction pipeline on a set of fits files (observations of a single 
source):
```shell
pyshoc /path/to/data/folder -o /path/to/output/products -tel 74 --target "CTCV J1928-5001"
```
<!-- or equivalently
```shell
> python shoc/pipeline /path/to/data
``` -->

## Documentation
* We are working on official documentation. 
* For the moment the best place to see how to use pyshoc is the 
[example notebook](https://nbviewer.jupyter.org/github/astromancer/pyshoc/blob/master/pyshoc/example/pyshoc.demo.ipynb)


## Contributing
 Pull requests are welcome!
1. Fork it (<https://github.com/astromancer/pyshoc/fork>)
2. Create your feature branch (`git checkout -b feature/rad`)
3. Commit your changes (`git commit -am 'Add some cool feature 😎'`)
4. Push to the branch (`git push origin feature/rad`)
5. Create a new Pull Request


## Contact
* e-mail: hannes@saao.ac.za

<!-- ### Third party libraries
* see [LIBRARIES](https://github.com/username/sw-name/blob/master/LIBRARIES.md) files -->

## License 
* see [LICENSE](https://github.com/astromancer/pyshoc/blob/master/LICENSE)

## Version 
* 1.2.0