semvec/pypi-packages huggingface dataset:
smart-prospective-api 1.3.0
The Official Python client for Smart Prospective API
License: MIT

Smart Prospective API
======================

This python library is made to connect to Smart Prospective API, in order to manage your account, users, medias, publish content, bills...

Installation
------------
```python3 -m pip install smart-prospective-api```

Compatibility
-------------
Python >=3.6


Custom Config
-------------
__SMART_PROSPECTIVE_SERVER__: If you set this environment variable you can specify the target server ([More info](https://en.wikipedia.org/wiki/Environment_variable)):
```
import os
os.environ["SMART_PROSPECTIVE_SERVER"] = "https://custom-server.com"
```

Usage
-----
```
from smart-prospective-api import SPApi, APIError

try:
    # Setup the API credencial (do not perform any request at this moment)
    # Note: The public key starts by "pub_" & The secret key starts by "sec_"
    sp_api = SPApi("your_api_public_key", "your_api_secret_key")

    sp_api.get_medias()  # Get all the medias linked to this account

    sp_api.logout()  # Logout the account, more safe to use it, to avoid potential attacks
except APIError as e:
    print(f"Failure using the Smart Prospective API: {e}")

# Other Method (less common)
token = sp_api.login()  # This call is optionnal, because it's automatic on every call if needed if the token is not set
sp_api.token = token  # Manually set the token (so it won't perform any login() once you call any method)
```


Contact
-------
* Phone: +33 (0) 1 86 66 01 70
* Email: dev@smartprospective.com
randydata 0.3.1.10
Tools for SQL or Excel of observational data handling.
License: MIT
Keywords: excel sql data handling

===============
RandyData
===============
Purpose
_______________
*RandyData* serves as a simple tool to automate data handling tasks, when working with MySQL Databases and Excel tables,
storing one observation per row.

It helps reading the Excel table into a MySQL database and creates custom classes for every observation. Furthermore, it
helps automate some basic formatting tasks to present your results.

welcome_data
________________
The ``randydata.welcome_data`` module is made to simplify the process of importing excel files and reading SQL tables to
memory. It uses an object oriented approach and dynamically creates a class, storing the observed parameters and adding
user specified methods to make data handling more easy.

data_layout
_______________
The ``randydata.data_layout`` module simplifies some more common formatting tasks to present the results you got from
analysing the observed data. It uses html to quickly add some structure to your data.

Docs
_______________
Sphinx docs are available at `readTheDocs <https://randydata.readthedocs.org>`_

Feedback
_______________
I am very happy about any kind of feedback or suggestion by email: `randydata@randerath.eu <mailto:randydata@randerath.eu>`_