semvec/pypi-packages huggingface dataset:
extra-datascience-tools 0.5.0
Python package which offers additional tools for data scientists.
License: MIT
Requires Python: >=3.8,<4.0
Keywords: data science,python,plots,visualizations,decorators,ml,machine learning

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# Python package with extra tools to use for data science.

Welcome to `extra-datascience-tools`, a Python package which offers additional tools for data scientists. These tools include or will include e.g.:
- functions
- classes
- decorators
- plots

..which are useful and often used for most data science projects, so that you don't need to rewrite the same code over again or invent it yourself. Please be aware that this package was launched in oktober 2022 and thus the current amount of features might be limited, but the features that are present can be of great use.

 Personally I'm a huge fan of well-documented code, and this package strives for quality and well-documented code over lots of under-documented features. Please visit [ReadTheDocs](https://extra-datascience-tools.readthedocs.io/en/latest/#) for this package's extensive documentation.

**[Github page](https://github.com/sTomerG/extra-datascience-tools)**

## Installation

### Using PyPi

    pip install extra-datascience-tools

Without using PyPi

    git clone https://github.com/sTomerG/extra-datascience-tools.git
    cd extra-datascience-tools
    pip install .

If problems arise make sure to have the latest version of pip:

    python3 -m pip install --upgrade pip

## Usage
    >>> import extra_ds_tools

For more information see [the tutorial](https://extra-datascience-tools.readthedocs.io/en/latest/notebooks/tutorial.html).
tradedoubler-api-client 0.7.5
Unofficial simple python wrapper for Tradedoubler API
License: MIT
Requires Python: >=3.6

# tradedoubler_api_client
Unofficial simple python wrapper for Tradedoubler API

## instalation
`pip install tradedoubler-api-client`

## example of usage
```python
from tradedoubler_api_client import Tradedoubler

td = Tradedoubler('relative_path_to_credentials.json')

pending_sales = td.pending_sales()
list_pendint_sales = td.pending_sales().get_all()
list_pendint_sales.csv(path='csv')
list_pendint_sales.json(path='json')
```
[more examples...](https://github.com/adamczarnecki/tradedoubler_api_client/tree/master/examples)

### credentials.json schema:

```json
{
    "td_secret": "[secret]",
    "td_id": "[id of application]",
    "td_user_name": "[email@domain.com]",
    "td_userpassword": "[passToAcount]"
}
```
visit [solutions.tradedoubler.com/tools/api-client/index.php](http://solutions.tradedoubler.com/tools/api-client/index.php) to get app id and secret.

## List of reasons to deny transaction
| code | reason                                                                     |
|:----:|----------------------------------------------------------------------------|
|   6  | Application/Credit Check Denied                                            |
|   7  | Fraudulent Order/Application                                               |
|   8  | Duplication / Sale Accredited to Another Source                            |
|   9  | Order Yet To Be Fulfilled                                                  |
|  10  | Returned goods                                                             |
|  13  | Invalid Lead                                                               |
|  14  | Order Cancelled                                                            |
|  16  | Insuffient Information (Applicable only for untracked sales)               |
|  17  | Order not found (Applicable only for untracked sales)                      |
|  18  | Sale Already Accredited to Publisher (Applicable only for untracked sales) |
|  19  | Voucher incorrectly used                                                   |