semvec/pypi-packages huggingface dataset:
payu-websdk 0.1.7
PayU
License: MIT

# PayU SDK for Python Apis
This API gives you the status of the transaction. PayU recommends this API to reconcile with PayUâ€™s database after you receive the response, where var1 is your transaction id.

## Features Supported
Following features are supported in the PayU Python web SDK:
- Create Payment Link.
- Verify transactions, check the transaction status, transaction details, or discount rate for a transaction
- Initiated refunds, cancel refund, check refund status.
- Retrieve settlement details which the bank has to settle you.
- Get information of the payment options, offers, recommendations, and downtime details.
- Check the customerâ€™s eligibility for EMI and get the EMI amount according to interest
- Pay by link
  To get started with PayU, visit our [Developer Guide](https://devguide.payu.in/low-code-web-sdk/getting-started-low-code-web-sdk/register-for-a-test-merchant-account/)
# Table of Contents
    
1. [Installation](#usage)
2. [Getting Started](#getting-started)
3. [Documentation for various Methods](#documentation-for-various-methods)
## Usage
```shell
pip install payu_websdk
```
## Getting Started


```shell

client = payu_websdk.payUClient(<KEY>,<SALT>,<ENV>) // Need to set merchant key,salt and env ("TEST"/"LIVE")

```
vayner-clean 0.1.8
Library for cleaning advertising data from Tracer
License: MIT

# Getting Started 
This library has generic functions for cleaning advertising data such as standardising column
names between platforms and countries or extracting a Country like "France" from a string column

[Full Online Documentation](https://VaynerMedia-London.github.io/vaynerclean/)

## Library Installation
```
pip install vaynerclean
```
To upgrade the library after an update
```
pip install vayner-clean --upgrade
```

## Importing the Library
```
from vee_clean import cleaning_functions as clean
```

## Usage in code
In this example we will be using the cleaning library to clean and standardise column names in a dataframe 

```
fb_organic = clean.clean_column_names(fb_organic_temp)
```
textual-datepicker 0.2.4
A datepicker widget for Textual.
License: MIT
Requires Python: >=3.7,<4.0
Keywords: textual,textual datepicker,textual dateselect

# Textual: DatePicker

A DatePicker widget for [textual](https://github.com/Textualize/textual). It can be used standalone or with a DateSelect opening the dialog.

DateSelect with DatePicker example:

![DateSelect with DatePicker](https://user-images.githubusercontent.com/922559/209947716-3ee53f74-4d98-4d9c-a261-afb84955d519.png)


## Usage

```python
from textual_datepicker import DateSelect

DateSelect(
  placeholder="please select",
  format="YYYY-MM-DD",
  picker_mount="#main_container"
)
```

Define an initial value:

```python
import pendulum
from textual_datepicker import DateSelect

DateSelect(
  placeholder="please select",
  format="YYYY-MM-DD",
  date=pendulum.parse("2023-02-14"),
  picker_mount="#main_container"
)
```

## Installation

```bash
pip install textual-datepicker
```

Requires textual 0.6.0 or later.

## Limitations

This textual widget is in early stage and has some limitations:

* It can only open below, not above: Make sure to reserve space below for the dialog.
* It needs a specific mount point (`picker_mount`) where the dialog
  shall appear. This is needed because the container widget with the select
  itself could be too small. Maybe in future versions this will no longer be
  needed.